Marcin Woźniak about Swarmcheck and Argument Mapping: How democratic discourse can be more rational
Ep. 03

Marcin Woźniak about Swarmcheck and Argument Mapping: How democratic discourse can be more rational

Episode description

NOTE: Because of some network problems, I had to repeat some questions. I had to cut the video a couple of times: to make it comprehensible, I’ve inserted a “beep” sound, to make it clear that is not Marcin that is repeating himself. I hope it is comprehensible. :)

In this insightful episode, Marcin Woźniak discusses SwarmCheck, an innovative argument mapping software developed by the Optimum Foundation to improve rational public discourse and collective decision-making. SwarmCheck visualizes arguments as interactive networks, helping people find agreements and understand disagreements through an analytical approach. Marcin explains how the platform enhances critical thinking, reduces polarization, and has been successfully applied in policymaking, pharmaceutical research, and educational contexts. He shares his concerns about AI development and argues that combining collective human intelligence with artificial intelligence represents our best path forward in an increasingly complex world, where technology should augment rather than replace human reasoning.

https://www.swarmcheck.ai/

https://democracyinnovators.com/marcin-wozniak-about-swarmcheck-and-argument-mapping-how-democratic-discourse-can-be-more-rational/

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0:00

the so welcome and another episode of

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democracy innovators podcast and today we are

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here with magazine was neck i'm sorry

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for the pronunciation a ready

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and welcome and thank you for your

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time for being here

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the the pronunciations got to thank you

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for having me on the podcast

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thank you and as a first person

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i like to ask you what is

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a swarm of check that is a

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project you're working on a

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yes a swarm check or it's a

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technological solution of optimum but at the

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foundation

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with the mission of improving rational public

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discourse and room technology in our opinion

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is most effective way to do it

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so we create a swarm check and

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it's mainly argument mapping software for collective

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decision may

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making delphi processes and are improving collective

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intelligence

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so are you can be applied in

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a variety of uses and topics because

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argumentation the

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as its core mechanics is very universal

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right we we see argumentation everywhere

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so we've correct technology that supports collective

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argumentation we can improve not only the

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quality of the discussion the liberation and

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collecting data in the process but improve

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decision making as well by having more

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perspectives more and critical voices and

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the better

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a quality of the decision

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as a whole

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for yeah that that's that it probably

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will have more or questions or i

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will elaborate yeah of course and

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do you have any sort of use

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case that the

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you think could fit very well for

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for swarm attack

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for we have many use cases we

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are completed over forty projects and with

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this software so i will give you

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some some range of topics that we

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tackled in the past

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so maybe i'll start with the that

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the current one we are excited about

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and there is a method of

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achieving a numerical results for your questions

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called the delphi methods so it's the

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expert deliberation anonymous am which is an

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iterative process of

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producing numbers estimations about some future event

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or as some risks of british nation

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and with anonymous argumentation about those initial

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man estimates we can

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achieve concern source of the group and

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be quite sure that our the final

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results achieved by this process is a

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good for decision-making or a stretch it

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strategic decision-making or a risk planning or

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they're even as a

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the publications so for example a pharmaceutical

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company approach us to conduct delphi process

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with a clinicians to estimate the risks

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off

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illness contracted with some virus or after

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that that the treatment there is a

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period in which the

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the their solution is is given to

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to the patients but after that this

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process can be some the cook and

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appears on some additional a symptoms so

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for people with certain criteria we can

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st

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he made how risky is for them

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to the basically stop the treatment right

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and with those data we can show

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okay experts collectively have consensus that the

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treatment needs x station for a certain

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criteria with this amount of risk

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took her to to do to stop

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them

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and with this data we can have

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scientific publication that can convince for example

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decision makers seen in governments to an

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a finance that the the extension of

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of the treatment another case an more

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the on the site of policymaking is

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are basically creating collectively new strategies new

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or new policies in a local governments

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and so one a case was at

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the renewal

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of a ten year educational policy in

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the city of was none

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so the the challenge was okay what

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do we want to achieve in a

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in next ten years from what are

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the most important issues because education is

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big think and that there are many

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people who are interested in in in

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the outcomes their students of course there

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are teachers the sky

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directors

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public officials and gr workers their academics

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will know a lot about their educations

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and and effectiveness of of certain or

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policy interventions and so on so that

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there are people with different point of

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view on the same topic and with

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different interests and we have to somehow

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how make them the aim come up

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with the the the solution for for

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those policies so we use swarm check

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thought to the map or the argumentation

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about the key propose us to basically

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come up with

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solutions that are anonymously produce and represent

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the collective intelligence of the group

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the may be here is the good

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thing to explain what his argument mob

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for people who are hear about this

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for the first time absolute the basically

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if if you are if you have

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a book right you have

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a line of lines of text theo

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you start reading it from the while

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usually front row from the left the

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top corner and and go to the

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right and go to the button so

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on

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so it gives you on the linear

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progression of some narrative right you basically

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have a story the that have beginning

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middle and and but we can extract

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or they useful information so that specific

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claims and map data relation to each

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other basically arguments are are and those

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those claims that that relate to each

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other by giving each other support or

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they contract the each other or give

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an a or shall disagreement or so

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while the extract those claims we we

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can generate a graph at my

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up of individual claims and their relationships

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so that right now we don't have

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a this linear texts we have something

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that that is a network network of

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reason inc of argumentation of ideas and

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we can clearly show how they relate

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to each other these

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gifts or gives us a lot more

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information about the reason inc and a

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show the

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the subject we are discussing mortgage objectively

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because there is no story about this

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you can basically travel as you like

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a through their connections on on the

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graph and read what are the agreements

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what are the voices of support a

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how people explain their that their support

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it's what are the justifications and on

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the other hand that there are disagreements

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a contradictions are critical voices and those

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in turn can have their own supports

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and these agreements as well so basically

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you built block by block this a

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graph of collected

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it reasoning and and when you do

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this anonymously with from software that that

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can integrate different points of view a

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you you have outcome that is not

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controlled by anyone but only represent the

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collective knowledge of the discussion gather

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and then you can from

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conduct additional analysis of this of this

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graph so for example you can analyse

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how certain claims are network how many

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supports are there even the support supports

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our well

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the sourced in a library you for

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twenty second for the

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action

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okay i i then i will go

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back to to the analysis of the

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graph so sorry can you please repeat

9:44

their the last two minutes because there

9:48

was a problem with your connection i

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think

9:51

sure what what was the last time

9:53

your car were la think you heard

9:56

you were talking about how the graph

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shows all the different the

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the because because i lost two times

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of retired my microphone that was disconnected

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you yeah sure i can start over

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maybe

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the extreme the the gruff yeah exactly

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okay let's do it sure so

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at the end of the of the

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process when we have graph of arguments

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and their relationships through to to each

10:36

other and we can analyze it from

10:40

the standpoint of okay which claims are

10:43

more the and of the best supports

10:46

what are the sources if we use

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for exemple scientific data to support some

10:51

claims what are the contradictions disagreements a

10:56

critical voices and every level of those

10:59

graph can have the same thing so

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basically every are welcoming when he starts

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with the first premise we we are

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we can add to to it's the

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learn took to to to this artifact

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another are arguments so

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let let's say nah i er i

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click on the on the premise

11:27

every or students should wear as korean

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you for something guy that and or

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that the system asked me why one

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should think so

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and i give my at my premise

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my my reasoning or let's say i

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i think that i uniformity allows for

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our students to to are not feel

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excluded

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and this my my explanation is the

11:59

claim of of itself right so people

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can agree with it and give a

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reason inc so may be there is

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some scientific study that supports might my

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claim or or may be there is

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some criticism that even though the the

12:13

uniforms may provide that too

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to some extent our different aspects and

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and salon i that that undermined the

12:20

the that the idea of of a

12:23

feeling well for for just a typo

12:24

students that sort so are he in

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this way we we have graph of

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all reasoning that these are collected through

12:34

through the day

12:35

discussion and can be a additionally supported

12:39

by the reasoning source from a literature

12:42

from research from other sources the even

12:45

from other discussions because the the claims

12:48

are reusable in our system is very

12:49

important aspect that it can connect the

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discussion of that are held in different

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play

12:55

a different time and and after we

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achieved this argument mop we can run

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analysis on it so are we can

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see okay what is the line of

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reasoning that supports our main claim main

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idea or what are their

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a risks and we can see on

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the graph basically the a hot how

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strong are the branches that leads to

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to some

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so awesome outcome we can see which

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claims are the best networked in the

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graph so it can indicate that this

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claim is very important for people because

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they addressed it a lot we can

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see which claim don't have any support

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and those may be just saw him

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a fringe

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ideas or or just the the group

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don't have any way to to supported

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are contradictory is not very interested in

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them we can see that some initial

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a line of reasoning was very well

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supported but at certain voiced is a

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m undercut by by very

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good a counter argument so this is

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something that would be very

14:13

okay i last year

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i'm still here to worry

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answer a time

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so we wake up from in indiana

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something that would be very hard to

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analyzed by a person because all those

14:32

connections you have to have in your

14:33

own hat right and are you have

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to remember okay how the the the

14:41

claim argument sentence that that this spoken

14:44

at the end of the meeting

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the related to something that was set

14:48

at the beginning right this is very

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hard to to have it in mind

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i am even if you use something

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like rot large language model an artificial

14:58

intelligence to to analyze this a transcript

15:01

of the of the meeting it'll be

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hard for artificial intelligence to to have

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those connections in in its let's say

15:09

attention so argument mobs the

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gif very good and reliable and explainable

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reason inc about the issue that these

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created by collective intelligence and this is

15:24

ma'am

15:25

why i think he did it is

15:27

one of the best tools to support

15:28

collective decision making

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when now we talk about the collective

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the i mean the tester you have

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done i mean how many people wearing

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of the in this and then i

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also have another custom related to the

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designated as you can deposit the summer

15:50

short explanation syrup so on the how

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how many people are the it depends

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on of course on on the issue

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and we had groups us a smaller

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let's say for people that to discuss

16:07

something but as large us for

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forty or eighty people

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so of course it is that the

16:16

let's say individual session of the discussion

16:19

that the optima a number of people

16:21

it's around let's say ten people but

16:25

we have we can have a many

16:27

sessions in parallel or in in sequence

16:30

because we can what what when somebody

16:33

gree uses some claim from the past

16:36

some some argument from the past this

16:37

system it will join those grass and

16:39

the we we we can have something

16:42

that is a bigger than and the

16:46

anything that one group can come up

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with because it's not the result of

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the discussion of of two groups

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so

16:55

yeah it it depends in it can

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be scaled up to basically global civilization

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if we imagined so i

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the the the core and a site

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in this process is that

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argumentation in in public discourse on the

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in scientific discourse is not from

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infinite in every topic in every topic

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we we hear a finite number of

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arguments and when we tried to put

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them onto a gruff or ontology we

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can see that okay here are the

17:36

the same repeating points we don't have

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to mop them

17:39

mm over and over we can reuse

17:41

them from the past and see how

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they were address this is very important

17:45

to or contract and misconceptions this information

17:50

and the

17:53

basically mistakes and errors one can making

17:55

in decision making process right so it's

17:59

quite important for us to allow groups

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not to repeat mistakes over and over

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as it is the case the in

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public discourse right now

18:10

but we want to

18:12

use this collective intelligence to only built

18:14

on top of previously gathered knowledge

18:19

yeah so

18:21

the the idea is that the is

18:23

potential potentially a feasible to to basically

18:27

map out the whole public discourse by

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collecting or eva important arguments important innocence

18:35

that they are reasonable in this discussion

18:39

we have to exclude spam

18:41

and something that is not arguments and

18:42

so on right to about three we

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don't or in any way to intervene

18:48

in the married of the their claims

18:50

because this is what arguments are for

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if somebody thinks it's unjustified one can

18:58

give counter arguments right and the

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can allows us to do

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avoid something like sensor shape or the

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focusing only on something that moderator moderators

19:11

think is important

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so yeah it usually it's not needed

19:16

to have the the robot civilization thought

19:18

to map out the the whole discussion

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that the most important argument but the

19:22

group of or let's say

19:25

and dental to forty people is usually

19:28

more than enough tool to have or

19:31

to represent or the viewpoints that are

19:35

appearing in public discourse

19:40

sure and about the doesn't matter the

19:44

since the very interesting and the

19:49

did you get inspired by that

19:53

home

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yeah herbs the that he method is

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something that the

19:59

exist from the fifties it was developed

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by rand corporation and as a means

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to our hands decision making in a

20:09

very important

20:12

digic decision making and from it was

20:16

improvement developed through the years there are

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many versions of of the delphi process

20:21

the the main problem for earth that

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we helped thought to to solve of

20:27

the delphi method is the and

20:30

the time consuming or

20:33

part of the of the process so

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basically a every and expert that this

20:40

invited must be muslim name remain anonymous

20:44

a and at the other sign have

20:47

to present their estimates in every round

20:52

for for each a question and have

20:54

to present reason inc or remaining anonymous

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so classically you know that that the

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surveys were sent to the expert that

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the

21:04

will collect but somebody made calculations okay

21:07

this is that the mean of your

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estimate this is the standard deviations of

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the measure of

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lack of consensus if the the standard

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the division is higher or the

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how how much consensus is achieved it

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if it goes to a two zero

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am so basically how how how much

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variety there is in in the estimates

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of experts and then in order to

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to get close to zero so to

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achieve consoles the the consensus

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the experts need to present their reasoning

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that they have to present okay i'm

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trying to convince you that my point

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of view is that correct so i'm

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let's my estimate was a lower than

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the mean of the group so i

21:57

can give some counter arguments for the

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position

22:00

that should be high right and and

22:03

then we can go into details so

22:06

basically i one experts present the line

22:09

of reasoning another expert can address it

22:12

can present their own arguments and from

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it in a collective argument map pink

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it's it's very easy it's anonymous

22:20

already a everyone can see the same

22:23

map we are on the same page

22:24

we speak the same language it's or

22:27

everything can be done quickly and the

22:30

with preservation of

22:35

best practices to to touch of collective

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intelligence and but when we don't have

22:41

the to like this or it's easy

22:43

for moderator or or for person who

22:47

collects information tool and to presented in

22:51

a way that that will break that

22:52

on

22:53

the let's say experts rights short essays

22:56

okay my reasoning was blah blah blah

22:58

and somebody can okay i i i

23:00

know that the style of writing a

23:03

source of this is this expert the

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that the anonymity is there an is

23:08

broken

23:09

or may be some experts are very

23:12

yeah

23:14

to the point and are right on

23:16

the one paragraph and other experts will

23:19

write longer essay right how we can

23:22

compare those the and of course the

23:25

the problem of plaintext the with the

23:29

linear narrative still can

23:33

misguided other experts but with argument months

23:36

we only have reasoning and we can

23:38

objectively see okay all the arguments that

23:41

what were deemed important by experts are

23:44

here we can look at them and

23:46

then rethink our initial estimate and give

23:50

another one which will lead us to

23:53

to const

23:53

councils and from our and

23:58

experiments or or our projects we can

24:00

see that and the

24:04

the standard deviation that that is measured

24:08

on each round that the measure of

24:10

consensus is are shifting significantly after the

24:15

the rant of argument mapping a to

24:18

to the consensus as so i think

24:22

it's

24:24

an improvement on on that part and

24:27

of course we don't need to or

24:30

create summarization of of statistical analyses for

24:34

for the estimates we don't need to

24:36

make summaries of of for every essay

24:39

that expertise everything we is it real

24:43

time showing on on

24:44

software so it can be done really

24:47

quickly

24:49

so the process that could take months

24:51

can be done in a in one

24:53

day on one sitting basically it depends

24:55

of course how many questions or there

24:57

and so on but the this is

24:59

that the the improvements are in time

25:02

and quality because the the important thing

25:06

at the end of the process is

25:07

we don't only have

25:09

results with summary a statistical summary a

25:13

and the what what is that mean

25:15

that that the averages are under under

25:20

the after the last round and and

25:21

the measure of consensus was a standard

25:23

deviation we additionally have the reasoning that

25:27

let the experts to

25:28

to this conclusion so there is additional

25:32

safeguards that this this this or

25:37

estimation is correct

25:40

or even if some future event will

25:43

or

25:44

give us new information we can see

25:46

okay if this

25:49

from new information can be added to

25:51

the map we can see how can

25:52

in effect initial a sort of final

25:56

conclusion so it's easy tool or

26:01

the to use this knowledge for the

26:03

future goals

26:09

so if i understood correctly the platform

26:13

help of people to

26:17

let's have to find the agreements and

26:21

disagreement agreement that about a certain topic

26:24

in analytical way and the proton iterative

26:29

process so when new information on collected

26:32

the people can earth

26:35

agree or disagree on a single information

26:40

nothing single part of the problem yes

26:43

exactly and the we can go to

26:45

the nuances so that that's the very

26:50

important aspects from the standpoint of reducing

26:53

polarization because especially

26:55

political topics people tend to align with

26:59

some

27:00

the ideological lines a party lines of

27:03

so on but when we go into

27:05

the little to the nuances people are

27:07

much less ideological and are they can

27:11

from my experience discuss very reasonably a

27:15

particular claims so may be initially there

27:18

is some disagreements but when the got

27:20

to those premises of the premises we

27:24

can see that are people are quite

27:26

rational and when they see viewpoints of

27:29

others the the perspectives they didn't come

27:32

up themselves them they are actually learning

27:36

thought to think more critically about the

27:38

issue and

27:42

with those the this additional knowledge there

27:45

in real time adjusting to the that

27:48

their own perspective so

27:51

yeah i i think it's quite important

27:55

that this process is not only

28:00

interesting and and good in terms of

28:01

producing good data but is good for

28:04

the users themselves they they are an

28:08

education or being being educated on the

28:10

topic in real time by by engaging

28:13

with argument mapping and

28:16

not only that the the critical thinking

28:18

ability of people who engage in arguing

28:20

mapping and increases radically so there was

28:25

some studies that

28:29

measured the the standard deviation of improvement

28:32

of critical thinking of students who who

28:37

did semester off or an argument mapping

28:40

in academic setting and in comparison to

28:45

the

28:46

the first year of college in general

28:49

the the the critical thinking ability of

28:53

students who used argument mopping course

28:57

was three times better than didn't then

29:01

the baseline of the first year of

29:04

college what's more important more more interesting

29:08

people who attend or trick critical thinking

29:11

and philosophy makes the course

29:14

i

29:17

yet series the connection is a

29:25

sorry it

29:29

yeah you got disconnected the for a

29:32

couple of second but you were saying

29:34

that students that are using their dogma

29:37

argument map the had the better result

29:43

in yes in in critical thinking or

29:47

tests

29:49

up the basically that the standardized test

29:52

of of critical thinking and in

29:55

that there were three or

29:58

the situations that that were studied in

30:02

different studies but when we compared the

30:04

results that the first year of college

30:07

or is a three times worse in

30:09

terms of increased stability of critical thinking

30:12

then of course of argument mapping and

30:15

the are critical thinking course with that

30:17

makes me feel as a

30:19

the gifts worse results than argument mapping

30:23

about two times worse so from the

30:26

techniques i know that increased critical thinking

30:28

ability or with some a scientific study

30:32

backings i i don't know the better

30:34

tool for increasing individual ability

30:39

or of critical thinking

30:42

yeah so it seems so it can

30:45

as a a a lot of applications

30:49

and the

30:51

i mean all these new technologies that

30:53

were and right now

30:56

are going to be applied to indifferent

30:57

field and the and probably we still

31:00

have to discover in which

31:03

a specific field the one technology fit

31:07

the

31:09

very well or not but it's very

31:11

interesting that that can

31:14

it can do several things

31:17

i mean not just the about finding

31:20

an agreement bottles related to application or

31:24

to to study and about your experience

31:30

would you like to share something about

31:32

you

31:33

i mean

31:37

where did you drop her off and

31:39

and then later regional calls about your

31:42

experience work experience or education sure who

31:47

are i was born in poland i

31:50

still live here are the bottom instead

31:52

of of the time i i moved

31:54

to cracow or

31:56

to study law at the eagle on

31:58

and university but instead of being a

32:01

lawyer or judge or something like that

32:05

i i was mostly interested in argumentation

32:09

about the legal theory about the philosophical

32:13

aspects of the law and

32:16

because maybe what's my characteristic is i'm

32:21

quite attractive thought to philosophy and i

32:24

think it's very useful for solving everyday

32:29

problems a counter intuitively because when people

32:32

people think about philosophy is something that

32:35

this data

32:36

from reality and yeah

32:39

it's it's not entirely true may be

32:43

some academic philosophers are quite detached from

32:45

reality than and solving real life problems

32:48

but good thinking about

32:52

problem solving is something that always helps

32:56

you thought to achieve better results and

32:58

the from the perspective of of society

33:03

and that basically talking to each other

33:06

having to to believe that together

33:09

we are creating laws and rules to

33:12

to took how how or to behave

33:14

how to conduct ourselves and

33:18

those rules can be better or worse

33:21

right they can improve the some type

33:25

of value that we care about a

33:29

or can make things worse is that

33:33

sometimes there are tradeoff for example on

33:36

one hand we we have freedom

33:38

on the other hand we we have

33:40

security of and time he it's one

33:42

of the cost of the other but

33:46

let's

33:48

asked the the about the conditions in

33:50

let's say a political dissidents in in

33:54

russian prison right there that russia is

33:58

is a neighbor of of balance a

33:59

we we have a lot of the

34:02

but history where each other as so

34:06

we we the current

34:08

your political situation tried to in the

34:11

distance ourselves fruitful from their political regime

34:15

but in the that is precisely why

34:17

because in politico the political dissidents the

34:21

russian peasant they they don't have either

34:23

freedom or safety right so

34:28

he it showcases the the the example

34:31

can can showcase a total as that

34:34

there are some

34:37

way to to optimize society to basically

34:40

have the most freedom that the most

34:42

security at the same time and then

34:44

of course there are some tradeoffs after

34:46

afterwards but at least the we can

34:50

search for those that are optimal solutions

34:53

that that that nobody east is worth

34:56

soft and that this the society as

34:59

a whole is is better of this

35:01

is a optimum pareto principle and

35:04

was not on the principle that the

35:06

optimal predator

35:08

an analysis of of the the the

35:11

and social values that that the gave

35:15

that the name of the optimum what

35:17

at the foundation which to me and

35:20

my colleagues in the

35:23

yeah colonial university found that basically at

35:27

our at the end of our studies

35:30

because that the the idea that we

35:33

can use deliberation we can use or

35:38

good design principles about creating policies creating

35:42

gloss i could be applied to decision

35:47

making to have better or policies on

35:51

on the municipal level on national level

35:54

maybe an international level and and

35:59

it is it's something that that can

36:03

show us that that the abstract reasoning

36:05

about the argumentation theory about the philosophy

36:08

and about the values can have real

36:11

impact on a decision that that affects

36:14

us on an everyday life because or

36:17

if society makes good decisions everyone is

36:20

that they're of and

36:23

so yeah that that that was the

36:24

motivation to to start the the optimum

36:26

part of the foundation and the common

36:29

interest let's say about the dialogue and

36:31

deliberation and man

36:34

an alternative means of resolving conflicts

36:38

and the and on top of that

36:41

from more than ten years ago or

36:43

i started to be interested in artificial

36:45

intelligence and from this technology in my

36:50

mind is something that is one of

36:52

the greatest potential for for humanity and

36:57

one of the greatest risks because basically

37:01

are we are different than other species

37:04

on this planet is by our mostly

37:07

collective intelligence or and this is something

37:10

that we are adding talk to our

37:12

collective intelligence of of humanity this technology

37:15

that improves and it's the accelerates some

37:19

aspects of intelligence and

37:21

or when i see that the

37:25

corinth most powerful systems are black boxes

37:29

so we don't really know how they

37:31

work a week even though the developers

37:34

that that created the tools cannot explain

37:37

how the certain decision was made is

37:40

something that that worries me right because

37:42

and how we know if the the

37:45

the solutions correct if these if if

37:47

it's not something that leads to some

37:49

sort of deception what type of values

37:53

are maximize are we agreed with those

37:55

values and how we can assure that

37:59

the individual impulse our our values are

38:03

the things we care about is something

38:05

that

38:06

artificial intelligence that that conduct those calculation

38:10

in the black box cares about us

38:12

as well right we aren't we we

38:14

cannot be sure the so this is

38:17

something that that is a worry of

38:18

mine but on the other hand when

38:20

we use artificial intelligence tool to reduce

38:23

the errors that we make tool to

38:24

help us as the

38:26

collect information that is a water source

38:29

and it is not disinformation

38:32

created by man

38:36

internal political actors or external like in

38:41

the case of of russia one with

38:42

the biggest a perpetrator of the disinformation

38:46

a currently the yo it's just too

38:51

much for one person individually to have

38:54

good information

38:55

diet and and check everything and you

38:58

know a follower the fuck jack harrison

39:00

than the fact check fact checkers this

39:02

is this is too much but with

39:04

the collective intelligence and the eight of

39:07

artificial intelligence to not to the or

39:13

to replace our thinking but to enhance

39:15

our thinking and enhance our collective intelligence

39:19

this this could be one of the

39:21

the greatest benefit for for for humanity

39:23

in my opinion but the important thing

39:26

is that the the replacement parts eat

39:29

when artificial intelligence replaces our thinking

39:32

inc or what was left for us

39:35

right that that decisions are just flowing

39:39

over our heads of of over or

39:42

over our heads we we are not

39:45

subjects in their deliberation in in public

39:49

discourse we basically are objects of

39:52

the manipulation we are just data points

39:57

that are used to optimize some you

39:59

know the financial results of some company

40:03

a and through the this situation when

40:08

we as humans lose our a person

40:12

who

40:12

in decision making is something that is

40:15

a very worrying for me in

40:18

the emergence of of or artificial intelligence

40:21

and and the rapid growth of it

40:24

but this is something that we expected

40:26

for a long time so we prepared

40:29

or a swarm second argument mapping as

40:32

were told not to be in competition

40:38

with

40:38

intelligence but the the told that preserves

40:42

good deliberation a preserves the ability to

40:46

to voice our values our reasoning or

40:49

point of view and be included in

40:52

decision making that can be incorporated in

40:55

an artificial intelligence as well

40:59

so yeah is that the question was

41:01

about my experience and i quickly move

41:03

though by the us so maybe to

41:06

summarize it i'm a person that that

41:08

is moved by the idea southern like

41:10

when i see something that is important

41:12

that i tried to act on it

41:14

and do something useful so maybe yet

41:17

this the

41:18

something that that

41:20

the isn't the do my work it's

41:24

a free is a free discussion so

41:27

whatever you with it was a very

41:29

interesting by the way and i totally

41:31

agree about the transparency for i am

41:34

i mean not having a i as

41:37

a black boxes because then it became

41:39

like a sort of

41:41

having faith in the i then me

41:44

now i say something and we'll just

41:47

have to trust it and then we

41:48

don't know maybe the daughter the twelve

41:50

were that were used to train the

41:53

eye and as you said the below

41:55

first also maybe don't have a clue

41:57

about why yeah he is it is

42:00

a sang it it is saying something

42:03

and not something else

42:06

and so absolutely and then when you

42:09

said the about freedom or stability you

42:13

made me think about to the brave

42:14

new world the booker from a huxley

42:17

yeah

42:19

and the

42:21

it's very interesting i mean that your

42:24

background is a i mean you studied

42:26

law and law is about the yet

42:31

both freedom and both stability

42:35

and the

42:39

was there a moment like some

42:43

when you had that the idea about

42:46

the

42:47

using technology for this kind of things

42:52

and the was there like something particularly

42:55

like personal experience a conflict that he

42:58

have seen that i dunno

43:01

the okay maybe is not enough we

43:04

need something else

43:06

yeah a couple of things

43:09

so i was interested in sociology or

43:14

of the law as well so basically

43:16

how the

43:19

law can shape personhood so basically the

43:23

last set the president can do this

43:25

this and this and when the are

43:26

prisoner we can do that the solely

43:30

right

43:32

what what so the the idea that

43:35

law is an instrument that the the

43:37

gifts power i think it's an attractive

43:39

just for people in general the that

43:40

the power directive for for people but

43:43

the when i observed that process of

43:46

democratic elections

43:49

it's very strange to me that people

43:53

are not question that much the the

43:55

whole process that we developed because most

43:58

of people are not satisfied with the

44:01

results of course currently there is a

44:05

some process that that hijack the the

44:09

collected discourse and and recent see on

44:11

the internet that so many people support

44:14

somebody and so on so on but

44:16

people are generally more rational about their

44:20

earn yeah i mean in general about

44:25

and the overview of of democracy they

44:27

don't think it's the best system to

44:32

select the most optimal person to to

44:35

hold the position to create the best

44:39

possible loss most people think about democracy

44:42

as the the least

44:46

good system that actually you know produce

44:50

some amount of freedom stability and we

44:53

have to deal with those stupid politicians

44:56

as a

44:59

some sort of unfortunate externalities right

45:04

but it strikes me as something something

45:08

weird tried that we we can have

45:11

better this is makings the making systems

45:14

luckily when we aim for exemple discuss

45:17

something on a seminar about the law

45:21

or so

45:23

the the the discussions were very smart

45:26

thoughtful and pathetique and they incorporated many

45:30

points of view but if the same

45:32

topic is discussed in and on parliament

45:35

it it started to to resemble in

45:38

a circle something that nobody watches us

45:42

intellectual active

45:43

beauty but maybe for entertainment of to

45:46

see what how how stupid one politician

45:49

he is or what are outrageous other

45:52

politician said and we are actually this

45:55

satisfied with with this type of deliberation

45:59

that is that is sin on in

46:02

parliament's right

46:04

so the the question was for me

46:05

okay how how we can

46:08

take the thoughtful deliberation and actually good

46:13

knowledge about the of from people who

46:15

are

46:16

a study certain topics and move it

46:19

a little bit towards the and extracts

46:22

of some reasoning some arguments and imovie

46:24

towards decision making in you parliament's that

46:27

that what were the decision about our

46:29

everyday lives are are made right and

46:33

even a i'll grab a level how

46:35

we can

46:36

access that the voices of the citizens

46:38

to govern our city better

46:42

am and the the the problems are

46:44

very human that we have even politicians

46:48

are are humans they have

46:50

the cognitive capacity of of human it's

46:55

very normal think so so one cannot

46:59

put everything or

47:01

on the in their head so that

47:04

this is

47:06

this is why i started to go

47:07

into artificial intelligence field because

47:11

in artificial intelligence are solutions for for

47:13

for those problems and twelve foot for

47:17

the province of hunting alert a big

47:19

amount of data and and making decisions

47:21

about that but the that there are

47:23

some additional issues and basically solving issues

47:26

about the issues of audacious let me

47:28

talk the the combination of

47:32

artificial intelligence and law and reasoning about

47:36

the norms about values the box policies

47:41

or and from this i i just

47:45

started to are going to to conferences

47:48

going to libraries when when you have

47:50

problem to solve its much easy easier

47:53

to educate yourself on on those topics

47:56

because

47:56

if you care about solving it

47:59

and so in my line of study

48:02

i i tried to follow those interests

48:05

more than you know the classical let's

48:09

say a yeah

48:11

as syllables of of of the have

48:13

some courses

48:16

and yeah i think that this approach

48:20

can lead to more into in interdisciplinary

48:24

view of the of the problem and

48:27

and then when you see the problem

48:30

you know in in more places in

48:32

different areas then you can see okay

48:34

i i

48:35

nobody's really solving it because everybody is

48:41

is in their own silos intellectual let's

48:43

say that they're not combining necessary knowledge

48:46

to to solve this problem

48:49

and you can see it you know

48:50

in in everyday discussion when

48:53

let's say you starts from just polite

48:57

discussion with somebody and all of the

48:59

southern you a shouting at each other

49:01

so from argumentation it little argument in

49:06

a sense of of a conflict it

49:09

is that those situation strike me as

49:13

i or something that that usually can

49:17

be prevent that and he prevented we

49:19

have better nah better dialogues but but

49:23

better a phrasing of of some wars

49:26

better listening but it's actually heart when

49:30

so many arguments so many claims

49:33

fly around in the discussion we don't

49:35

have cognitive capacity to store them all

49:38

and seed or the connections so we

49:40

use our emotions to to move our

49:43

ourselves in the discussions in the dialogues

49:47

and he i think it's unnecessary of

49:50

course it is good one and emotions

49:52

and you may

49:53

you to to do something good but

49:55

especially when you're watching the internet and

49:58

and through the public discourse devolve over

50:02

there for to to shouting matches and

50:04

up algorithmically enhanced outrage right is it

50:09

something that's a that that that the

50:11

that makes who said that

50:13

makes you are stressed and

50:17

yeah seeing all those instances of basically

50:21

the liberation and dialogue that goes bad

50:25

and one can you know and has

50:28

their own opinion that okay if we

50:31

just make slight improvements about the way

50:33

we communicate with each other and we

50:37

can have better policies better decision less

50:40

mistakes and we can all be better

50:44

off right so

50:47

yeah all those aspects led me to

50:51

to this powerful more and more and

50:53

then yeah it did there is of

50:57

course drawback of you know argumentation being

51:00

this all encompassing told that we use

51:03

every day so people

51:06

don't really off as some people just

51:09

get it from from the get-go okay

51:11

argument that mapping he says for because

51:13

you can see it it can function

51:15

as cognitive scaffolding for you can

51:21

see the bigger picture you got you

51:23

can critically analyze the topic you can

51:26

use artificial intelligence total to enhance the

51:29

that the analysis of the discussion and

51:31

decision-making soul great but for some people

51:34

it's like water for of proficient the

51:37

see right it just all over there

51:39

so you don't breathe

51:40

think about improving it them and it's

51:43

like it's like areas like something that

51:46

is just there is a like a

51:47

state of nature but of course it's

51:49

not the language is something that the

51:52

yeah

51:53

i was constructed by our culture's for

51:56

a long time and and the the

51:58

the way we talk to each other

52:00

is very the chin is it is

52:03

changing still but but change lot through

52:05

the through the history and and when

52:09

we started to be more cautious about

52:12

the the

52:13

the language the

52:15

prep presented that that the reason inc

52:17

or something that that can be examined

52:20

this or led to beginning of philosophy

52:23

right we we started to exchange ideas

52:26

we started to think critically about the

52:28

word we start to think about big

52:31

things like

52:33

what what is three what is not

52:36

real how or why are we conscious

52:38

what what what is the purpose of

52:39

life that what is moral what is

52:42

not moral how we can best arrange

52:44

society for the benefit of all am

52:48

a car

52:49

can we know the true or not

52:51

those are very fundamental questions that people

52:54

leaving you know a three thousand years

52:57

ago started to the think about that

53:01

basically helped our civilization grow exponentially from

53:06

the time because the philosophy that door

53:09

to

53:09

to science science led to the technology

53:13

and our modern world that that is

53:15

based on it and it when we

53:18

go back to the beginnings of of

53:20

philosophy of critical thinking about nor the

53:22

the

53:24

brattle dialogues that the the word is

53:26

vastly different but the problems at the

53:29

the bottom the core problems remains the

53:31

same and but when when we look

53:36

at how the the knowledge progresses we

53:40

can see that some ideas that people

53:43

believe in the pass

53:44

or just wrong people didn't have good

53:47

reasoning behind the don't didn't have good

53:49

arguments and to step step-by-step collectively we

53:54

we developed a science and academic institutions

53:57

a salon that gives a much better

54:00

understanding of the worth we live in

54:03

and i think the same goals

54:04

way for ethics and moral philosophy and

54:08

and sociology and and and law a

54:11

but it's very heart currently to be

54:14

knowledgeable about all of those topics right

54:17

but to certain extent we we need

54:19

to be knowledgeable about all of it

54:21

them to to make good decisions to

54:25

not not to lie to ourselves in

54:29

our of the cliff a because the

54:32

the it's quite clear that the changes

54:35

in the word are very fast right

54:37

but when we don't have goods sense

54:40

making tours tall a says the changes

54:43

to the basically navigate

54:44

hate those complex problems with a critical

54:48

thinking and clarity and interdisciplinary knowledge

54:53

it it's inevitable that we will make

54:56

huge mistakes that that very costly and

54:59

we will you will don't like of

55:01

them

55:03

yeah so if an if we can

55:07

build on top of the knowledge a

55:10

created by generations that a us isaac

55:14

newton said that if he saw further

55:17

is because he stood on the shoulders

55:19

of giants i think that this is

55:22

exactly that the think that

55:23

we want to capture it using this

55:25

technology that public discourse can be something

55:30

that is this or shoulders of giants

55:34

that

55:36

a lot of things and thoughts and

55:38

a private conversation then public conversations are

55:42

very valuable in terms of the their

55:44

content that that the knowledge that that

55:46

the reasoning the arguments that we now

55:48

that wheels but there are on the

55:52

fortunate is that collectively as a society

55:55

we cover omni

55:55

asia we just talk the same things

55:59

over and over we have the same

56:00

argument the same conflicts over and over

56:03

and from

56:05

i think right now as a civilizations

56:07

we are stuck you're stuck on this

56:11

crazy loop of are the same arguments

56:13

over and over that are very chaotic

56:16

and the it gives asbury about energy

56:20

the thought to conduct ourselves and so

56:25

that the the

56:25

vision that attracts me is that

56:29

from

56:31

using the knowledge of of people using

56:36

their personal experiences there may be professional

56:40

experiences may be their academic expertise the

56:44

in a way that contributes to our

56:47

collective knowledge as a a process

56:50

in which we are still remain as

56:52

a citizens of people who are engaged

56:55

in public debate or not

56:58

be replaced bought by politicians would be

57:00

like replaced by social media algorithms not

57:03

be replaced by a large language mother

57:06

or any kind of artificial intelligence but

57:08

as a as a part of are

57:10

in a community not can at the

57:13

something useful for the public discourse but

57:17

we we need something

57:18

what will shepherd the public discourse to

57:22

remember those arguments door to use them

57:25

in the future when the same topic

57:27

arises again thought to to move past

57:29

that the shallow conversations and shallow a

57:33

conflict to actually do

57:37

maybe resolve some of them may be

57:39

taught to or a my powdered a

57:40

better understanding of some important decisions and

57:45

may be tall or and

57:48

conflicts on and bigger scale on a

57:51

in terms of economics in terms of

57:53

or geopolitics in terms of technology development

57:59

because otherwise we are creating society that

58:03

the can lead into some or

58:08

brave new world territory if we are

58:10

lucky but if you are unlucky some

58:13

or orwellian a territory

58:17

so yeah this is basically our future

58:20

we are talking about and we are

58:21

just don't have any means of correctly

58:25

called collectively navigate through the spaces of

58:29

of possibilities about our future right so

58:32

our yup that women the end of

58:36

my long

58:37

speech

58:39

actually uglier suffered a requests are connected

58:43

and the i'm thinking what you were

58:45

saying it at the beginning so the

58:47

fact that the

58:50

when we have to discuss about something

58:53

i mean this is my petition that

58:55

sometimes there are words that triggers so

58:58

we are not the

59:00

said rational enough because the that particular

59:05

word may be for me as a

59:07

different meaning that for you and saw

59:10

it's an important to have interdisciplinary approach

59:14

but of course we cannot know and

59:16

everything

59:18

because it's not possible and the ai

59:21

of course could help other to

59:25

where we dont know at something it

59:28

may be can help us with that

59:30

the

59:33

some knowledge emptiness i dunno how typical

59:37

and the that did this this problem

59:39

is very big in terms of large

59:42

discussions but it's very easy when a

59:45

large discussion is are split into the

59:49

smallest possible pieces basically a claim

59:52

st arguments when the analyzed wine claim

59:55

it's much easier to do

59:58

to check if the phrasing the definitions

1:00:01

are understood by the parties engage in

1:00:05

discussion if they are if they use

1:00:07

the same language or maybe there is

1:00:09

some equivocation vacation so the same terrorists

1:00:11

misuse or something different

1:00:13

and so on

1:00:16

we we started to build our mechanics

1:00:19

exactly with that point of view that

1:00:22

a went when me a break out

1:00:25

the big problem into smaller pieces it

1:00:28

enhances our or

1:00:30

ability to to solve them and it's

1:00:33

the that there are fine at waste

1:00:35

all the final techniques to use to

1:00:39

to or go from

1:00:42

problem from miscommunication to better communication from

1:00:46

the the argument fallacies that can that

1:00:50

we can check there are certain aspects

1:00:52

of the phrasing that can

1:00:55

make some something more mature and there

1:00:58

are some wasteful to to paraphrase the

1:01:00

the same sentence that that would use

1:01:04

or language that this understood by others

1:01:07

and then and sometimes just focusing on

1:01:10

and select key issues is good enough

1:01:14

one

1:01:15

don't need to know all and then

1:01:18

to analyze everything right if we are

1:01:20

certain that the process of giving one

1:01:23

argument that the up to the discourse

1:01:26

is okay and improving on this argument

1:01:29

and making are going from from being

1:01:32

in in error to to to willis

1:01:35

wrong

1:01:36

a he is something that is a

1:01:39

scalable and this can lead to to

1:01:42

having a collective discussion on the scale

1:01:46

that is currently not possible with of

1:01:49

the technology

1:01:52

and you say the we saw i

1:01:55

also seen on the website that you

1:01:57

are a timber the us yes many

1:02:00

people's

1:02:02

i would you like to say something

1:02:04

about the team also how you build

1:02:07

that he how to build the timo

1:02:08

was the how it happened

1:02:12

yeah and

1:02:15

we started in

1:02:17

or ten years well eleven years ago

1:02:19

in may need the him credit the

1:02:21

foundation we started as a group of

1:02:24

friends from university and but later on

1:02:29

when we are

1:02:31

decided that okay the swarm check idea

1:02:34

is that the technology and

1:02:37

an educational projects that are

1:02:41

connected to argument mapping the something that

1:02:43

we can we want to pursue a

1:02:46

we started to build a bigger teams

1:02:50

we started to hire philosophers we started

1:02:53

to hire developers

1:02:56

designers and soon basically we nearly grew

1:03:05

exponentially force of our similar years

1:03:09

until

1:03:11

two years ago

1:03:13

we got forty people working in different

1:03:16

projects for in in policymaking king using

1:03:20

swarm check or in r and the

1:03:23

project to combat this information so on

1:03:26

but unfortunately the the girl was halted

1:03:30

by the conflict with the public institution

1:03:34

that fund that one of the arrays

1:03:35

of project and who had to reduce

1:03:37

our team so a currently we are

1:03:40

only in the

1:03:43

we have an team of six people

1:03:46

as we we still maintain development or

1:03:50

let's say this

1:03:52

service aspect of of our them

1:03:58

our an entrepreneurship we conduct services for

1:04:02

for the municipalities and for the from

1:04:04

mostly the girl companies and and for

1:04:06

everybody who wants to

1:04:09

improve their decision making conquer the delphi

1:04:11

studies and so on

1:04:12

am

1:04:14

but yeah we we are all right

1:04:15

now in recovery mode but because

1:04:19

yeah what we we took a gamble

1:04:21

to rely on public institution it should

1:04:24

be something that you know every citizen

1:04:28

shoots the water could the

1:04:34

rely on in normal circumstances but the

1:04:38

sometimes public institutions are

1:04:41

from faulty and the that there are

1:04:44

many corrupts corruption scandals regarding despite party

1:04:48

guaranteed to institution or so

1:04:52

our project took a hit or concerning

1:04:56

this the situation the but and we

1:05:02

were letting very difficult situation because we

1:05:04

had to rebuild our software that were

1:05:06

you know in one or more a

1:05:08

third of the are in the project

1:05:11

that we managed to

1:05:12

to or to overcome that and more

1:05:15

difficult this through through two years and

1:05:19

the right now we are in

1:05:22

as i said six m

1:05:25

the member team and this time i

1:05:29

think we will or more flu bit

1:05:32

slower in terms of a building team

1:05:35

but we still i want you know

1:05:39

the thinks the in terms of for

1:05:41

projects and am outcomes especially i think

1:05:45

combination of

1:05:45

of and

1:05:47

arguments or mapping technology and to our

1:05:52

a waste of

1:05:54

building eat into expert systems in combination

1:05:57

with language models is something that

1:06:00

do that

1:06:03

it is very very promising in in

1:06:05

terms of and many fields like of

1:06:09

course a a safety and that he

1:06:12

called development over the artificial intelligence but

1:06:15

for the perspective of the investors and

1:06:18

public institutions legaltech you something that we

1:06:22

are

1:06:23

look into right now and yeah we

1:06:26

were with our team we are

1:06:29

and built a appeal see of of

1:06:31

the system that uses argument mapping tool

1:06:35

have explain the bowl legal reasoning about

1:06:39

the nah basically any subject

1:06:43

this is something that we are pursuing

1:06:44

right now so we eat in our

1:06:46

team we also have the developers but

1:06:49

er let's say flows of her slash

1:06:51

lawyers people who are interested in in

1:06:54

those type of or and areas and

1:06:57

have expertise in it and and yeah

1:07:01

that that the current

1:07:03

the situation so i guess we are

1:07:07

looking for for collaborations because you know

1:07:10

in in in the past when he

1:07:11

had much bigger thing we could conduct

1:07:14

many more projects at the same time

1:07:16

right now we are taking things one

1:07:18

step of the time but we still

1:07:19

maintaining good quality or of the services

1:07:23

or and we still are developing the

1:07:26

the product

1:07:28

the i'm sorry to hear them the

1:07:31

story about with destitution

1:07:34

do

1:07:36

but yeah i can imagine that is

1:07:37

not easy

1:07:42

and the so the softer now it

1:07:45

is made it is a working what

1:07:49

is the state of the softer like

1:07:50

the

1:07:53

are you facing have some issues you

1:07:56

are you said that the

1:07:59

probably the user would like to collaborate

1:08:02

with other entities people saw his there's

1:08:07

any skill any problem that you're facing

1:08:10

right now

1:08:12

that yankee with is in the future

1:08:15

yeah the that's a good question i

1:08:17

thought the state of the software is

1:08:19

that we can fully operates conducting delphi

1:08:23

studies or solder consultations a deliberative process

1:08:28

assault and so on

1:08:30

hm and to that extent we basically

1:08:34

have everything we need a

1:08:38

but the when we look how the

1:08:40

artificial intelligence is being developed and the

1:08:44

ethical issues concerning the transparency

1:08:48

being the leading humans out of the

1:08:51

decision making look and hallucination problems and

1:08:55

basically errors that

1:08:59

enhance that the some human very human

1:09:03

or way of thinking

1:09:07

taking shortcuts characteristics and so on we

1:09:09

can see that our technology have so

1:09:12

much more potential so on on one

1:09:14

hand we are sufficiently developed technologically taught

1:09:18

to conduct their projects the that utilize

1:09:22

collective intelligence lately like those delphi studies

1:09:25

i mentioned but in

1:09:27

know that there is still this or

1:09:29

surrey lsd

1:09:31

you are saying

1:09:34

that the platform as a potential and

1:09:37

then the last year that yeah that

1:09:39

that the bottom have this potential of

1:09:40

combining artificial intelligence and a collective intelligence

1:09:44

that that we would like to just

1:09:46

have more resources to to focus on

1:09:48

and develop because

1:09:51

why we can provide much value in

1:09:54

terms of improving collective intelligence i think

1:09:57

that the the future

1:09:59

his is

1:10:01

relying on on coming up with the

1:10:04

strategies on of incorporating collective intelligence into

1:10:08

thinking of artificial intelligence and so this

1:10:12

is why we are

1:10:14

we want to focus on legaltech and

1:10:16

we want to focus on a stuff

1:10:19

like the central i science but we

1:10:22

we cannot have everything out of the

1:10:24

same time so if we could have

1:10:27

collaborations with people who are interested in

1:10:30

legaltech in

1:10:33

decentralized science or and in artificial intelligence

1:10:38

in a sense of explainable ai article

1:10:42

ai and the build a building workflows

1:10:45

that deal with augmentation we basically have

1:10:50

a

1:10:52

to or are in the projects that

1:10:54

are written there just waiting for to

1:10:56

to to be financed about it using

1:11:01

workflows and agents that help

1:11:06

improve collective intelligence us

1:11:08

contributors so basically as a small scale

1:11:12

the moderators that quotes suggest sources that

1:11:16

could use argument mining for a collecting

1:11:20

additional data for of discussion from or

1:11:22

let's say scientific literature or maybe to

1:11:25

analyse something from legal perspectives to a

1:11:28

guy

1:11:29

if criticism to your idea to check

1:11:32

if they're the phrasing is something that

1:11:35

is confusing for others or can be

1:11:38

phrase better that can join discussions that

1:11:42

initially may be or not join because

1:11:46

the phrasing of some claim a were

1:11:49

not similar enough for the system to

1:11:51

detected detected as the same that there

1:11:52

are many smaller aspects of the yeah

1:11:57

process of building collective intelligence that can

1:12:01

be improved by using large language mothers

1:12:04

and people who are interested especially technically

1:12:08

a in those areas can contact me

1:12:12

yeah because and yeah we we need

1:12:15

to to to collaborate on on this

1:12:17

different

1:12:18

maybe people who wants to jointly or

1:12:24

apply for some projects for for for

1:12:27

grants that deals with or

1:12:30

creating data that is combination of artificially

1:12:35

created data and human collect a a

1:12:38

data that these are governed by by

1:12:42

humans

1:12:45

and of course who when somebody's interested

1:12:48

in in the and just using our

1:12:52

software as a four four day on

1:12:55

benefit it's it's something that is always

1:12:57

good for us a like or decision

1:13:00

making like durfee processes like

1:13:05

public consultations improving internal the deliberation in

1:13:10

the organization and yeah those are people

1:13:14

who would we would like to collaborate

1:13:17

of the time and and hopefully

1:13:23

we can with some some initial push

1:13:28

we we we can go back on

1:13:30

track on improving from this combination of

1:13:33

artificial and collective intelligence to something that

1:13:37

that is for benefit of all that

1:13:39

is of benefit to to the people

1:13:41

who are the

1:13:42

collaborating with us on the solution but

1:13:46

that the the and goal is something

1:13:47

that

1:13:49

i i think is is just public

1:13:52

good sense of something that i

1:13:56

it reduces the this this problem of

1:13:58

of tradeoffs rights that the strait of

1:14:00

of security and freedom a the that

1:14:05

the problem of you know having to

1:14:08

manually engage in very minute shower of

1:14:12

of public discourse and being the

1:14:15

cut it out from a completely by

1:14:17

it artificial intelligence of on it is

1:14:19

something that we can we can combine

1:14:22

we vowed that the decrease in any

1:14:26

of or of of this extreme we

1:14:29

are i think that our approach can

1:14:32

provide the the golden ratio of

1:14:35

being a subject in in in public

1:14:39

the public life decision making of organizations

1:14:43

are so on in collective intelligence but

1:14:45

without the excessive requirements of or

1:14:52

no legend and and and a critical

1:14:55

thinking and everything that that is necessary

1:14:58

to in order to

1:15:00

not to make any mistakes than the

1:15:02

not makes any errors this is something

1:15:04

to of collective intelligence should take care

1:15:06

of a so yeah that if this

1:15:10

vision is something interested an interesting for

1:15:13

for listeners

1:15:16

you can contact me or my email

1:15:18

is on swarm jack website

1:15:21

i really hope that someone is going

1:15:23

to do it and i wanted to

1:15:25

ask you how hard the was to

1:15:27

develop the platform i mean

1:15:31

because a as i said i mean

1:15:33

there are people now the tower researching

1:15:35

about your ways for people to agree

1:15:39

and the you are one of them

1:15:41

i mean you're finding new solutions and

1:15:45

the is it easy or hard the

1:15:48

to get the fundings

1:15:50

i mean like did you have to

1:15:54

have a side job or of your

1:15:57

file name

1:16:00

yeah

1:16:01

initially i had to have a side

1:16:04

jobs just to start a company we

1:16:06

didn't have any external funding and and

1:16:09

like that

1:16:10

we just

1:16:13

use our on time

1:16:15

the to develop some prototypes to to

1:16:19

develop workflows our first argument map was

1:16:23

on are just wide berth and are

1:16:26

some

1:16:28

cork's a cork table with the pins

1:16:33

and so basic argument mopping to somebody

1:16:37

that can be done manually but of

1:16:39

course you cannot cannot compute the money

1:16:42

while results that well do so we

1:16:46

started with with those type of

1:16:48

projects we started to or

1:16:53

to to get funding from or educational

1:16:57

projects because the as a nation or

1:17:00

grandma pink is very useful for developing

1:17:03

critical thinking skills and this is something

1:17:05

that them can be are you utilize

1:17:11

very well in the

1:17:12

type of projects of unseen are going

1:17:17

to hoping builds are interesting database a

1:17:20

so while i was our first projects

1:17:23

besides this educational projects from whereabouts what

1:17:29

what are the arguments on skills

1:17:32

that will be needed in the workplace

1:17:35

of the future right so we will

1:17:38

discuss with many experts and and we

1:17:40

created arguing maps about us and we

1:17:44

do

1:17:45

put it into one

1:17:48

ebook fought for people to to see

1:17:51

him educate themselves so we've projects like

1:17:54

that we went to bigger and bigger

1:17:56

things one of our biggest their projects

1:18:00

were

1:18:01

educational project think like a scientist in

1:18:03

which we showed an argument mobs their

1:18:07

waste of analyzing the information from methodological

1:18:11

standpoint so basically a and we we

1:18:17

we saw that a popular science sometimes

1:18:19

is or

1:18:21

only about the results of of science

1:18:23

right so this is like a big

1:18:25

telescope and look at the pretty pictures

1:18:27

and the scientists found out that chocolate

1:18:31

is good for your brain or but

1:18:34

for your brain and stuff like that

1:18:36

but we want people are thought to

1:18:39

see especially the young people

1:18:41

one students towards the to see okay

1:18:44

how scientists know that certain claim is

1:18:47

true and how they can know that

1:18:49

certain crimes is false

1:18:52

so we go we went into those

1:18:54

arguments mobs about their methodology in or

1:19:00

as a social sciences in a more

1:19:04

stem fields about the process of science

1:19:08

about the citation about the peer review

1:19:11

and there is

1:19:13

to to to surprise of many much

1:19:15

to to improve their much to criticise

1:19:18

even the peer review process is something

1:19:19

that know some people are not very

1:19:22

happy with because

1:19:24

the the review can be done by

1:19:27

people who are not that at that

1:19:29

very well versed in the subject of

1:19:31

course they they should be from the

1:19:32

the some discipline and so on but

1:19:35

are they provide some criticism that one

1:19:37

cannot easily disagree with ride the the

1:19:40

you cannot have a deliberation

1:19:44

in the process of of the radio

1:19:46

and the the difference reviewers can disagree

1:19:48

with each other what what to do

1:19:49

then and

1:19:52

it is what what what is what

1:19:53

is the mechanism that compose the reviewer

1:19:57

to to have like a final grant

1:20:01

through for knowledge right there is no

1:20:03

such mechanism so of course he is

1:20:07

not saying that peer review should be

1:20:09

abolished was anything like that but he

1:20:11

chose

1:20:12

that in certain ways peer-review could be

1:20:14

improved even with argument mapping anonymous argument

1:20:16

mapping could improve peer review quite extensively

1:20:21

and we showed how can i am

1:20:23

a scientific paper can be a the

1:20:28

transported the tall a argument mapping chrome

1:20:31

how

1:20:32

claims can be discussed or how are

1:20:36

sources can or

1:20:40

shut showcase that okay this this data

1:20:42

is not only good because it's in

1:20:45

the paper but certain aspect of the

1:20:48

the experiment pros produced the data that

1:20:51

supports some crane rights so throat from

1:20:54

this like hurry sticks and broadview that

1:20:56

okay that this is true because the

1:20:59

a scientific paper

1:20:59

said so we can go into the

1:21:01

details about the methodology about the know

1:21:07

to do to to be sure or

1:21:09

are unsure are unsure about the results

1:21:12

are about him quantifying their uncertainty about

1:21:17

the scientific results and about the replication

1:21:21

of of the study so those things

1:21:23

are

1:21:26

the lead us to to to to

1:21:28

create this the this project and or

1:21:31

for many people are

1:21:35

it it helps to to to develop

1:21:37

a critical thinking skills that we measured

1:21:40

of the end up of the project

1:21:42

and now we have a data that

1:21:44

showcase that okay using or mapping and

1:21:48

having discussions about the methodology is a

1:21:51

sure way to to increase are effectively

1:21:53

or critical thinking

1:21:55

on top of that we we conducted

1:21:57

research on the user experience of argument

1:22:00

mapping because interestingly the same information in

1:22:04

plain text or or in the graph

1:22:06

form or in dynamic argument map so

1:22:09

basically them of that starts with one

1:22:12

claim when you click it shall one

1:22:15

argued

1:22:15

meant the next argument the next mental

1:22:17

sequential or a view of the of

1:22:21

them up at the same information eg

1:22:25

makes people retain information better or worse

1:22:29

so the worse is plain text and

1:22:32

the best is a dynamic view of

1:22:35

argument

1:22:35

map why is that it's or

1:22:39

her to say but there are some

1:22:42

hypothesis and the the one i a

1:22:45

like is i think it's is

1:22:49

have a lot of validity he is

1:22:51

the idea of cognitive scaffolding so basically

1:22:54

you are

1:22:56

your attention your your cognitive powers are

1:23:00

not waste that on maintaining that that

1:23:03

the connection of of of data and

1:23:08

adding information one one by one or

1:23:13

built the this a collective sorry the

1:23:17

the knowledge about the subject in in

1:23:19

a way of are like like a

1:23:22

the that the structure for the building

1:23:24

the did the scaffolding right so you

1:23:26

can navigate the scaffolding easily when you

1:23:29

have the the means to do it

1:23:30

when when we engage vs

1:23:32

usually a in the logical a relationship

1:23:37

of their or or of the know

1:23:39

you are acquiring

1:23:42

so that the that was very interesting

1:23:45

results result for us and yeah the

1:23:49

the after that the educational projects we

1:23:51

we started to engage a companies that

1:23:56

may be that they would like to

1:23:57

use argument bobbing in their on processes

1:24:00

unfortunately

1:24:02

are many managers don't really think about

1:24:07

you know making the best decision they

1:24:08

think about their job security and a

1:24:12

there they can have are fighting misguided

1:24:16

view of that you know if they

1:24:19

are not the sole decision makers that

1:24:22

there will be seen as unnecessary by

1:24:25

the by the company

1:24:27

and to there is a lot of

1:24:29

our reluctance in the private sector talk

1:24:36

to your decision making processes so or

1:24:40

if he the brunch we we went

1:24:42

to okay when you need no legend

1:24:45

and you know your your job depends

1:24:47

on it

1:24:47

that this knowledge is is correct the

1:24:49

of this led us to r and

1:24:50

the teams at all

1:24:53

the a pharmaceutical companies that they they

1:24:57

need a studies thought to or for

1:25:00

example of delphi studies to extract knowledge

1:25:03

front from experts and and be sure

1:25:04

that the process right sorts of the

1:25:08

this was easier for for for us

1:25:10

to breakthrough in terms of a private

1:25:14

sector but a at the same time

1:25:17

we started education project product projects we

1:25:20

started with are cooperating with public sector

1:25:25

as well and public sector was a

1:25:28

more

1:25:28

for enthusiastic about our approach

1:25:33

because they are compelled by the law

1:25:35

to conduct a public consultation on on

1:25:40

many policies so

1:25:43

sometimes they don't care about the innovation

1:25:45

this area but sometimes you know whatever

1:25:47

you though is fine by us just

1:25:50

produce the results for us if for

1:25:54

former aspects are good that the that

1:25:56

we are fine

1:25:58

but it allows us to to to

1:26:00

actually you know tests does approach 'em

1:26:04

from as i mentioned in case of

1:26:06

educational policies in terms of as climate

1:26:10

policies in in local level in terms

1:26:13

of public consultation and actually you know

1:26:16

including that the pie

1:26:18

apple's of arguments and opinions a talk

1:26:21

to some yeah

1:26:23

final policy

1:26:25

it is something that that we see

1:26:28

a that people who are part of

1:26:31

this processes can see benefit that that

1:26:33

they are are pleasantly surprised that the

1:26:37

whole process of deliberation of like a

1:26:39

game to them it's like something that

1:26:41

is entertaining or in addition to to

1:26:45

to be useful

1:26:45

all to to or to see other

1:26:49

perspectives to to voice their own opinions

1:26:53

and him people really like the the

1:26:57

idea that it's not only opinions it's

1:26:59

not only

1:27:01

my way or the highway it's a

1:27:03

it's the knowledge that that can be

1:27:05

and

1:27:07

yeah criticise it eat it can or

1:27:12

includes set some opinions that later on

1:27:15

in the discussion or proven to be

1:27:17

wrong and because in every day discussions

1:27:23

in in the let's say face-to-face a

1:27:27

participation a mink mediated discussions as and

1:27:31

stuff like that

1:27:32

it's are too much relying on

1:27:36

moderators ability to translate everything correctly and

1:27:40

remember ever seeing can summary of the

1:27:43

rethinking away that is not exploit excluding

1:27:47

sites that someone else

1:27:49

and to the if the conflicts arise

1:27:52

that the coffee is rather

1:27:55

hush the than than in a result

1:27:58

of productively but people actually appreciate constructive

1:28:02

criticism but it's hard for people to

1:28:05

to give constructive criticism in everyday setting

1:28:08

because this is not skill we are

1:28:10

born with right so earn

1:28:13

we we still do some public consultations

1:28:17

and and policymaking but as i mentioned

1:28:19

before before right now we are most

1:28:22

mostly focused on

1:28:25

our or

1:28:28

delphi processes and the an hour early

1:28:33

got there are applications because in our

1:28:36

mind is in our opinion is it

1:28:39

something that can can be the close

1:28:42

closest to that the fastest application that

1:28:46

you utilize this artificial

1:28:47

diligence and collective intelligence tool to the

1:28:52

market or neat of having a quick

1:28:56

contract analysis having or improve for some

1:29:00

legal reasoning in some court cases and

1:29:03

so on

1:29:04

am

1:29:06

but on the other hand is not

1:29:08

far enough from our our and the

1:29:10

that can improve or artificial intelligence and

1:29:15

collective intelligence in in areas like commodities

1:29:18

for my it this information or

1:29:21

having crowdsource the science and and the

1:29:26

creating big databases of connected treason inc

1:29:33

in in the martin that manner that

1:29:34

is similar to wikipedia but may be

1:29:37

on more of ukip wikipedia of connected

1:29:40

reasoning of connected arguments so so did

1:29:44

this is the pathway that we are

1:29:46

still on but are we we we

1:29:50

are focusing on the legaltech and delphi

1:29:52

methods

1:29:54

at of the of the time

1:29:58

and the talking about know that is

1:30:01

a very interesting topic do you think

1:30:03

that the i am in the

1:30:08

in the future do you think that

1:30:10

the laws as we know them now

1:30:15

will change like that there could be

1:30:18

a different the kind of system

1:30:22

i dunno sure the and he thought

1:30:24

about the future issue think that there

1:30:27

i mean because he was think about

1:30:29

low the load that we have now

1:30:32

of course they are maybe they were

1:30:34

created twenty years ago but the systems

1:30:37

white all that we can go back

1:30:39

to thousands of years

1:30:42

and the baby relations of we father

1:30:46

kind of technologies either nice you're interested

1:30:48

in the web treat like her your

1:30:51

as smart contracts made me feel about

1:30:53

law but maybe not different termer compared

1:30:57

to what we noah the

1:31:01

yeah we're very interested in

1:31:05

dollars and technology like that for decentralized

1:31:09

organizations and decentralize

1:31:12

as you're making a and decentralized science

1:31:15

as well as i mentioned

1:31:17

not in terms of what what is

1:31:19

the future of law it is something

1:31:21

that i

1:31:24

have a spectrum of possibilities right so

1:31:28

on one hand we can just see

1:31:31

of the past and how before or

1:31:35

something that that we see as a

1:31:37

given so that rough law the

1:31:41

the judicial system that is independent of

1:31:44

executive system and the legislative branches of

1:31:49

the the thinks we are good for

1:31:52

granted

1:31:54

we take for granted the

1:31:56

maybe it will devolve right may be

1:32:00

the more authoritarian system of governance will

1:32:07

one outcompete may be not necessarily outcompete

1:32:11

may be just they will collapse from

1:32:14

an internal strife and and you know

1:32:17

that the way

1:32:19

currently politicians are are

1:32:23

getting power in democratic systems

1:32:27

the the lot of worrying or

1:32:31

a signals that you know democracy something

1:32:34

that may be facing the history of

1:32:36

of civilization we wouldn't like to see

1:32:40

that we would like to strengthen the

1:32:42

the best aspects of democracy but it

1:32:44

means a democracy should evolve their it

1:32:47

should response to to the current problems

1:32:51

because alternative of democracy the rule of

1:32:55

law is just the dictatorship dictatorship as

1:32:58

somebody dictates what is the law and

1:33:00

you must obey or be put to

1:33:03

their for something great that right there

1:33:05

so

1:33:08

it going into the the

1:33:10

happier her outcome

1:33:14

i think that there are still some

1:33:16

important challenges are on one hand we

1:33:20

can imagine let's let's are very positive

1:33:22

future we can imagine that

1:33:25

the public discourse itself can be a

1:33:30

governing force for the best law that

1:33:33

we have it it's technically feasible that

1:33:37

the discussion like we have right now

1:33:39

and millions of discussion that people have

1:33:41

you know in public sphere not not

1:33:44

in their put private

1:33:45

lives but the when they want to

1:33:48

engage in something publicly yeah we can

1:33:52

use those discussions tour or extract important

1:33:57

arguments reasoning a value-based reasoning and and

1:34:02

added to to collected discussions and those

1:34:04

discussions

1:34:05

can you know influence how the

1:34:09

the rules are applied taught to the

1:34:12

whole of society basically we can directly

1:34:15

and indirectly influence the the rules by

1:34:20

talking about the right that would be

1:34:22

something very sci-fi but the totally technically

1:34:25

positive feasible or so the

1:34:29

there is one of the idea of

1:34:31

that so so basically we are governed

1:34:32

by by our collective intelligence in terms

1:34:35

of country or maybe community a whole

1:34:38

i know some some people see is

1:34:41

it it as a something positive for

1:34:43

some people fear that much more nefarious

1:34:47

or things like new worth rs

1:34:49

our something like that

1:34:51

yeah of course a i i think

1:34:55

of all of it is possible right

1:34:56

we can if we can have global

1:34:59

government that is positive positive for people

1:35:01

we can have global government of is

1:35:03

that his bed for people we can

1:35:05

have individual nation state that are good

1:35:08

for of for citizens we can have

1:35:10

nations that the

1:35:11

states other in war and they are

1:35:13

oppressing their citizens am so

1:35:17

having

1:35:19

you know ability to use current technologies

1:35:24

are and future technology store and

1:35:29

surveillance a citizens to to control them

1:35:33

to remove their own a agency and

1:35:36

and or thought personhood

1:35:41

and

1:35:43

you know basically have the pretenses and

1:35:47

the show of democracy instead of democracy

1:35:50

as as we seen many of the

1:35:52

authoritarian countries right now yacht is it

1:35:54

is interesting that most of them conduct

1:35:57

some the some the the democratic elections

1:36:01

just for the performer perform

1:36:03

months of it the that is three

1:36:04

possibility as well right the and

1:36:09

he he in those cases law can

1:36:11

be used as a system of oppression

1:36:14

of a system that the coordinates a

1:36:17

parrot of executive of of you know

1:36:21

the government the police to to control

1:36:26

the citizens stall to or

1:36:30

check for dissidents to do to shape

1:36:33

the society as the most powerful powerful

1:36:36

people once rights also

1:36:39

and

1:36:41

we we the the one option this

1:36:45

is quite good rights a week we

1:36:46

can just basically he broke rationality of

1:36:49

of law and the and have a

1:36:51

say in the in our future and

1:36:54

use collective intelligence to to to navigate

1:36:58

our collected this the decision making maybe

1:37:01

gates a to to the fisher scenarios

1:37:03

that that are possible to have good

1:37:05

since making and and so on but

1:37:08

on the other hand we can just

1:37:10

you know a lethal are all of

1:37:12

that we can reduce our agency we

1:37:15

can reduce from ability to make decisions

1:37:20

on

1:37:21

our on behalf of reduce or

1:37:25

the voice of of criticism or of

1:37:26

the power of the government and the

1:37:30

yeah i have for only that the

1:37:31

spectacle of or of democracy i i

1:37:34

think everything key in this case is

1:37:37

is possible and many scenarios in between

1:37:40

so or for me it's it's still

1:37:44

and

1:37:44

said that right what what would be

1:37:46

the role of artificial intelligence

1:37:49

on on the one hand it can

1:37:51

speed up some some processes it can

1:37:55

basically allows us for for better deliberation

1:37:59

for for better decision-making but on the

1:38:01

other hand it can be used as

1:38:04

a surveillance store for it can be

1:38:06

used as a means of or

1:38:12

thinking for us not with us

1:38:16

are you it can may be in

1:38:20

the featured develop us a new agent

1:38:24

that that is you know the new

1:38:25

force of of decision-making so i i

1:38:29

think it's that there are no physical

1:38:32

or objections to to to have

1:38:36

like super intelligence drunk artificial intelligence that

1:38:38

is us smart in accordance to to

1:38:42

humanity as we are now corners to

1:38:45

chimpanzees right so what when we are

1:38:47

the second most intelligent species on on

1:38:50

the planet

1:38:52

we we have the same ability to

1:38:54

influence the future of this planet as

1:38:56

the second as the current second most

1:38:58

intelligent species caf so that that that's

1:39:01

worrying rights and i think on the

1:39:04

alternative to it is collective intelligence there

1:39:06

is no other think we we cannot

1:39:08

being stupid there we cannot control

1:39:11

something smarter than us i think that

1:39:14

many

1:39:16

many smart people think that it is

1:39:18

it is possible to some extent but

1:39:21

soon

1:39:23

our out present may be saw some

1:39:26

argument them up the way the the

1:39:28

not so surreal

1:39:30

there was something with the connection maybe

1:39:33

was me out and about the i

1:39:35

get a connection was a look at

1:39:37

the last the thirty seconds

1:39:40

sure and

1:39:45

success of the the the risk of

1:39:49

an artificial intelligence that is smarter than

1:39:52

us and is basically holding or the

1:39:54

shots about their future that our planet

1:39:57

is moving into and realizing their own

1:39:59

goals

1:40:01

it is quite or me possible in

1:40:06

i dunno about nudity future but even

1:40:09

in medium term is it's not something

1:40:11

that would that i would exclude maybe

1:40:14

even if may be even not if

1:40:16

not not in your tent future so

1:40:19

are the the risk of being this

1:40:21

second most intelligent species on the planet

1:40:23

that does not have shared means of

1:40:26

making some the basically using collective intelligence

1:40:29

weaved artificial intelligence as the method of

1:40:33

of making decisions about our future of

1:40:36

the future of civilization is something that

1:40:38

that is one of the biggest risk

1:40:42

yeah if we don't if that ability

1:40:45

of artificial intelligence increases and our ability

1:40:49

of incorporating this intelligence into our collective

1:40:52

intelligent is not increasing we will be

1:40:55

left behind and or

1:40:58

i dunno if it if it was

1:41:00

a

1:41:02

recorded but i

1:41:06

when compared that the most intelligent species

1:41:08

right now to the second mustn't intelligent

1:41:10

species chimpanzees and are ability to influence

1:41:14

the future right so if we

1:41:17

as the humanity will go down as

1:41:19

the second-most intelligence most intelligent species i

1:41:23

don't think it would be

1:41:26

weiss thought to not to give ourselves

1:41:30

at the ability to to be incorporated

1:41:34

in the decision-making process of the future

1:41:36

artificial intelligences and that the only way

1:41:39

through this process is collective intelligence that

1:41:42

the the interesting thing that that showcases

1:41:46

that is that this is possible at

1:41:49

is there interesting aspect of technology that

1:41:53

you don't really need to understand everything

1:41:56

to

1:41:56

to use technology right the you don't

1:41:58

have to know how the electricity is

1:42:01

made have the lightbulb is created how

1:42:04

the an electricity is

1:42:08

and moving you know for the city

1:42:10

that the collective electric great

1:42:14

you know is is operated to just

1:42:16

push a button and you have a

1:42:18

light right the that there is some

1:42:20

power into in in the setup off

1:42:23

of knowledge that we can use and

1:42:26

i think that the the ability to

1:42:29

reduce knowledge in argumentation have the same

1:42:32

property right so we still

1:42:34

you can be on equal footing even

1:42:39

with

1:42:40

intelligence is greater than ours to be

1:42:45

part of this collective negotiations as collective

1:42:47

augmentation because if our voices voice is

1:42:51

added to the voices of others and

1:42:54

and the argumentation of others are it

1:42:57

create something that is more than than

1:42:59

just our

1:43:00

one idea right there is a complex

1:43:03

of idea

1:43:05

or all the ideas or toward disgusted

1:43:07

the indus that that are discussed in

1:43:10

in this

1:43:12

in this topic that can influence the

1:43:15

that the decision making processes of even

1:43:18

super intelligent beings right because once the

1:43:22

the knowledge is produced in can be

1:43:25

applied many many times for our our

1:43:28

benefit so the philosophical discussions the discussion

1:43:32

about

1:43:32

values discussion about why is good to

1:43:35

do something that that motivates and frames

1:43:39

that is the she making are so

1:43:40

crucial and we don't really have them

1:43:43

because the internet is full of the

1:43:45

the surface lover discussion and the data

1:43:48

that is used to train the models

1:43:49

is mostly on the surface lever disk

1:43:52

russians but we need the ability to

1:43:55

joined the value-based reasoning to the argumentation

1:44:00

that that can go

1:44:02

deep into the nuances and represent many

1:44:05

perspectives he entered the disciple discussion to

1:44:08

preserve our our human values into the

1:44:11

future into the data that is used

1:44:13

by they're stronger and stronger artificial intelligence

1:44:20

i share with you the whole about

1:44:23

url

1:44:24

about the future of of the positive

1:44:27

aspect i mean the

1:44:30

that humanity can use tools or two

1:44:34

to agree on things and may be

1:44:36

find a new ways for for governance

1:44:41

and the would like to ask you

1:44:43

if you have any

1:44:46

message to the community of civic tech

1:44:50

of the people in the civic that

1:44:51

filled the you should think they're are

1:44:53

collaborating in a good way if is

1:44:57

there anything that

1:45:02

yeah

1:45:05

the dipper for think he's just you

1:45:07

know if the thinks i i spoke

1:45:10

about our in of interest to you

1:45:11

just the

1:45:13

contact me and we can

1:45:17

see how we can collaborate the you

1:45:20

know that the the scale of collaboration

1:45:22

can be discussed because we are quite

1:45:25

flexible and we have experience of incorporating

1:45:29

many people are toward our organization

1:45:34

and another thing is that

1:45:38

i i think that

1:45:41

is it is very novel to to

1:45:43

to work in a civil attack or

1:45:45

because it's or

1:45:49

something that is much needed and it's

1:45:50

not very easy to

1:45:53

to survive in this field outside the

1:45:56

the fact that three after this big

1:45:59

color collapse of the of one of

1:46:01

the our biggest projects we still were

1:46:03

managed to survive we're for additional project

1:46:06

problems like that is due to the

1:46:09

a tremendous amount of work by our

1:46:12

team and

1:46:13

and i think that many secret tech

1:46:17

organizations and and people who are interested

1:46:21

managed to struggle with for similar issues

1:46:25

are just you know just having to

1:46:27

explain that those are complex ideas to

1:46:31

about new ways of governing and

1:46:35

or the ducky carla and you weeks

1:46:38

difficulties that the stems from that a

1:46:42

is a think that are often time

1:46:45

the not present produce results quickly so

1:46:50

yeah he in terms of having impact

1:46:53

which is a

1:46:54

i believe something that many people care

1:46:57

about mostly

1:46:59

it it is good that we have

1:47:03

initiatives that you know can

1:47:06

we we can network be network like

1:47:09

with the meta gulf in initiative and

1:47:12

that that the podcast as yours is

1:47:15

is very good example of something that

1:47:18

can

1:47:19

be a beacon for many people who

1:47:21

are interested in the in the subject

1:47:23

and then

1:47:26

i would say just seen on the

1:47:28

don't only look around just give it

1:47:30

the gone and it is not that

1:47:33

difficult to talk or to be engaging

1:47:36

in just one small project that that

1:47:39

provo beginning and end then to three

1:47:42

thousand experimental lot

1:47:46

and shared their results were four of

1:47:47

the community especially or

1:47:50

i think good examples of applied a

1:47:53

civic tech are very encouraging because they

1:47:57

are not only showing the community that

1:47:59

those things can be done they show

1:48:02

a decision makers that this is something

1:48:04

that is happening others are using it

1:48:07

and having good results

1:48:10

really goes along way so

1:48:14

yeah i i would encourage you to

1:48:16

to just skip persisting and to the

1:48:20

issue her ability and diamond gator of

1:48:22

the community engage with

1:48:24

the me if he wants or i

1:48:27

oftentimes spent my own free time about

1:48:30

to discuss the that those issues and

1:48:32

and those most projects with people so

1:48:36

yeah i keep on it's it's one

1:48:38

of the most important think or one

1:48:40

can work in so

1:48:43

given our current state of the then

1:48:45

you know the trajectories for for democratic

1:48:49

governments and democracy in the future and

1:48:51

the emergence of artificial intelligence we are

1:48:54

on the crossroads and the future is

1:48:58

uncertain but we can push it's a

1:49:00

little bit into the direction of that

1:49:02

we all would like to see

1:49:03

so that that that'll be my message

1:49:07

thank you and the absolutely sure that

1:49:09

this topic are very important i mean

1:49:13

they could avoid the eventually wars or

1:49:17

other kind of coffee

1:49:20

and the

1:49:22

and yet so i share your home

1:49:25

and the do you have any anything

1:49:27

you'd like to talk or taught the

1:49:30

that may be we haven't touched before

1:49:35

yeah i i think that the last

1:49:36

thing you the the aspect of the

1:49:39

worst is said suffering that

1:49:43

inspired me to the to measure something

1:49:45

because when you see an ordinary people

1:49:50

that have to

1:49:53

be in some war situation and to

1:49:56

to to be soldiers and so on

1:49:58

governments have to come up with a

1:50:00

waste of you know convincing you that

1:50:05

you are able to to to kill

1:50:06

another and the it's not an in

1:50:09

is not natural for for him as

1:50:11

for most humans excluding maybe some psychopaths

1:50:14

to take a person's life right so

1:50:17

so this is just

1:50:18

mr

1:50:20

something that are are are of course

1:50:23

powerful forces that shape us into the

1:50:26

situations in which we kill each other

1:50:30

but that there are so many cases

1:50:32

that we can show that when we

1:50:36

are able to to talk to each

1:50:38

other even our enemies right

1:50:40

the the the ability to resolve conflicts

1:50:43

are are immense if the no powerful

1:50:46

governments are nuts barking you get and

1:50:48

i think that we as a society

1:50:51

needs something that will protect us from

1:50:54

the abuses of power the abuses of

1:50:56

tyranny abuses of people who

1:51:00

invades other countries a business of power

1:51:03

of of people who know once

1:51:07

further their own interest because if we

1:51:10

are able to talk to each other

1:51:12

directly without our governments but or coordinate

1:51:17

as a

1:51:19

person as as a no ordinary humans

1:51:21

that when to leave and and to

1:51:24

have a good life and so on

1:51:27

we have so much thinking common and

1:51:29

the the only

1:51:32

way that and

1:51:35

in the past the there was this

1:51:37

vision of the internet tried to when

1:51:39

the internet will a marriage will just

1:51:41

have this connection we we we don't

1:51:43

have it but it doesn't mean that

1:51:45

it is not possible we just have

1:51:47

to have right tools for for this

1:51:50

type of communication and the yeah we

1:51:54

just don't give up then the don't

1:51:57

think that

1:51:58

social media as it is is the

1:52:01

only way towards to communicate and that

1:52:05

social media didn't exist

1:52:08

two decades ago rights it everything changes

1:52:12

so fast that are it is important

1:52:15

to remember that the we today we

1:52:18

are building the future

1:52:20

yeah so don't stop your imagination

1:52:25

on what's possible

1:52:28

yeah yeah you make me figure that

1:52:31

the when the i mean if people

1:52:34

are able to discuss the inner or

1:52:36

it's until way and maybe this is

1:52:38

not so convenient for people that have

1:52:40

our but this is another problem

1:52:45

also he held the sneaker about this

1:52:50

so thank you are locked the and

1:52:52

the was very interesting have you here

1:52:56

thank you alex think you for helping

1:52:57

me