Okay. Everybody good? Yep. Okay, we're going to go ahead because we are already behind
schedule. So we're going to start with the DSAT, my think, and they're going to present
their findings, answers to the question. Lots of crazy ideas on how the open source
community and can help foster you compliance. Sorry. Yeah, it's as you will see, it's
like more than an open source, it's like open approach ideas. So we have many ideas on the
user interaction with the platform. So for example, sorry. So we have a lot of ideas on how
users should interact with the platform. So the like methods or API that platform should
expose that for the user. For example, to export the data to another platform. So I sort of
federation for personal data. And then there is also the idea to have platforms to automatically
expose APIs or endpoints to do GDPR like data donation. So for the user to donate its data
to either the investigative team or CSO running a test or a study, etc. Then there was also something
about how can platform check their compliance. So like a sort of sell service checkbox to check
if the platform is compliant or not with the regulation. There was also an idea about if you are
big enough or like bigger than a threshold. Then all of your patents and models etc are public
domain, which is a very good wiflist. But let's see. And then coming back to the user content,
the idea to allow or to enforce a bring your model, especially for a recommender system, which is
already done in some like open like social media. And then one really interesting one is also
to apply this API terms of service. So to standardize the way terms of service are written,
to have them to be like programmatically inspectable and to expose like in an open in the creative
come on a way, the features of the license with an introducing also a SPAT SPDX identifier for the
license. And then last one will be to have a unified repository for the advertisement libraries
that are scattered through the platforms now and they use different schemas, different names
for the features etc. So these are the, yeah, the ideas. That sounds pretty great. There have
been some amazing ideas and maybe we'll see some of them implemented in the coming years. Who
knows? A hand I've been out to Taipei to do the CRI wrap up. Thank you very much. So we were
trying to answer the question, how I mean how how might we make sure that the implementation
of the series of disaster? And frankly you have delivered. So congratulations to all of you.
Yeah, so we'll figure out a way to put them online, right? But for example, I see here remove
all incentives to be a Stuart. That's a pretty good one. Ignore all open source producing SMEs.
Okay, that's another good one. Right, so there are lots of those. And then they're really interesting
solutions to each of one of those, right? So we'll figure out how to share it with the working
group and make it a publicly available resource. And I'm sure there are some really good
ideas in there. But yeah, thank you very much. This was fun.
Okay, so on AI we went a bit all over the place, but the discussion was really, really interesting.
We, you can see from the chaotic whiteboard, we started talking about what makes open open.
And had the discussion around reproducibility and the challenges opposed with reproducibility
for AI is actually borderline impossible. It's the challenge. But then we've done to discover
discuss other things like the importance of ethics, you know, should there be ethical considerations
in AI? And we kind of concluded as well that, well, with proprietary out, you'll never know
if it's ethical or not. We've open AI, you actually have an opportunity in a chance to find out.
We also talked about the importance of building AI that's reason to born non-discriminatory
and how we could go around achieving that. Finally, we talked about building stuff at the end of the
day and emphasise the importance that all of the open source code that we have around AI already,
all of the open source libraries that we've got around it are a great starting point. And that
we're essentially bootstrapping a community, because people who've never done AI before are
coming in using the existing open source stuff and building on top of that, which is really, really cool.
Yeah, so I think that's about it. And I think that brings our workshops to a close
and we'll be moving on to the next block.