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Okay. Everybody good? Yep. Okay, we're going to go ahead because we are already behind

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schedule. So we're going to start with the DSAT, my think, and they're going to present

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their findings, answers to the question. Lots of crazy ideas on how the open source

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community and can help foster you compliance. Sorry. Yeah, it's as you will see, it's

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like more than an open source, it's like open approach ideas. So we have many ideas on the

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user interaction with the platform. So for example, sorry. So we have a lot of ideas on how

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users should interact with the platform. So the like methods or API that platform should

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expose that for the user. For example, to export the data to another platform. So I sort of

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federation for personal data. And then there is also the idea to have platforms to automatically

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expose APIs or endpoints to do GDPR like data donation. So for the user to donate its data

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to either the investigative team or CSO running a test or a study, etc. Then there was also something

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about how can platform check their compliance. So like a sort of sell service checkbox to check

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if the platform is compliant or not with the regulation. There was also an idea about if you are

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big enough or like bigger than a threshold. Then all of your patents and models etc are public

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domain, which is a very good wiflist. But let's see. And then coming back to the user content,

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the idea to allow or to enforce a bring your model, especially for a recommender system, which is

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already done in some like open like social media. And then one really interesting one is also

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to apply this API terms of service. So to standardize the way terms of service are written,

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to have them to be like programmatically inspectable and to expose like in an open in the creative

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come on a way, the features of the license with an introducing also a SPAT SPDX identifier for the

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license. And then last one will be to have a unified repository for the advertisement libraries

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that are scattered through the platforms now and they use different schemas, different names

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for the features etc. So these are the, yeah, the ideas. That sounds pretty great. There have

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been some amazing ideas and maybe we'll see some of them implemented in the coming years. Who

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knows? A hand I've been out to Taipei to do the CRI wrap up. Thank you very much. So we were

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trying to answer the question, how I mean how how might we make sure that the implementation

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of the series of disaster? And frankly you have delivered. So congratulations to all of you.

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Yeah, so we'll figure out a way to put them online, right? But for example, I see here remove

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all incentives to be a Stuart. That's a pretty good one. Ignore all open source producing SMEs.

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Okay, that's another good one. Right, so there are lots of those. And then they're really interesting

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solutions to each of one of those, right? So we'll figure out how to share it with the working

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group and make it a publicly available resource. And I'm sure there are some really good

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ideas in there. But yeah, thank you very much. This was fun.

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Okay, so on AI we went a bit all over the place, but the discussion was really, really interesting.

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We, you can see from the chaotic whiteboard, we started talking about what makes open open.

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And had the discussion around reproducibility and the challenges opposed with reproducibility

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for AI is actually borderline impossible. It's the challenge. But then we've done to discover

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discuss other things like the importance of ethics, you know, should there be ethical considerations

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in AI? And we kind of concluded as well that, well, with proprietary out, you'll never know

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if it's ethical or not. We've open AI, you actually have an opportunity in a chance to find out.

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We also talked about the importance of building AI that's reason to born non-discriminatory

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and how we could go around achieving that. Finally, we talked about building stuff at the end of the

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day and emphasise the importance that all of the open source code that we have around AI already,

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all of the open source libraries that we've got around it are a great starting point. And that

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we're essentially bootstrapping a community, because people who've never done AI before are

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coming in using the existing open source stuff and building on top of that, which is really, really cool.

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Yeah, so I think that's about it. And I think that brings our workshops to a close

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and we'll be moving on to the next block.

