 All right, people, let's get started. Last round, last substantive session for this morning. If you could take your seats, please. Thank you so much. Please come in. Excellent. So are we ready to start? Yes? Are we ready? Yes, we're ready. Cool. All right. Very good. OK, so here is a suggestion. Obviously, we have a lot of thoughts. I'm sure you had as active conversations and many ideas and suggestions and proposals in your cluster meeting as I had in my cluster meeting. We will not go through all these ideas. That's the very reason why we asked you to submit these ideas via email so that we can cluster them, that we can share it back with you. So we won't do that right now. What I would like to propose, though, is that we do two things. And let me just introduce it as a process suggestion. The first one is we go around the room and we'll hear from the reporters, including KS. You ready? What are low-hanging fruit ideas? Things we could do pretty much immediately that would help to advance the AI and inclusion agenda broadly defined. Things that are small, things that are big, importantly, low-hanging fruits. Things we can do individually as an organization, collectively, just within the next few days. Start doing stuff. What's in this category? So that's suggestion one. Filter number one. Filter number two is what will be possible candidates, ideas, and suggestions that have emerged in your conversations? That could be the starting point for some sort of informal communities of practice among us. You could call it working group, but I prefer the term community of practice. That could run in a light touch way over the network of centers platform. So to give a few examples, some of us are actually teaching. We create syllabi on AI and society courses. Could we create a community of practice and start sharing our syllabi and learn from each other and maybe even make them available in different languages? That could be a community of practice. Some of us are working hard to translate reports and research insights and make them accessible to broader audiences, including policymakers and journalists. Could we form a community of practice among those of us who engage in these sorts of efforts to say, hey, how can we be more strategic working together and informing each other how we do these sorts of translations? How we, for instance, raise awareness among journalists and reporters who write about AI and so that they don't go out and necessarily write the killer robot headlines in the future? Or there may be some among us, and we've heard Mark with his presentation, working on data cooperatives and related ideas. Could we form a community of practice around that? And the idea would not so much be that the community of practice has to do all the heavy lifting, but it could actually just create interfaces to other networks that are already working on similar issues. There was a very active Twitter street about some of the open data synergies that we could create. So anyway, I'm just throwing these examples out to give the rapporteurs a sense for what kind of nominations we would look for. But of course, please also feel free to push back on this idea if you don't like it. It's just a working hypothesis that we may form such communities and would have something light-touched that would survive this symposium in addition, of course, to all the reports we'll produce. So you are invited either to comment on the low-hanging fruit or on these nominations for communities of practice. You can also criticize the whole thing, but if you keep that as a working structure. So KS, since you said you're ready and I heard you had an amazing dance performance last night. So yeah, KS. I'm not gonna dance here. This is a little bit difficult for me because we talked about low-hanging fruits. So we were a group of four or five people and we have five low-hanging fruits and I have to choose one of them. And yeah, so okay, well, if I can mention them, then I mean, if I have to choose, I have to choose mine. So instead of doing that, I'm gonna talk about just a few of them. So Marquetta from the Canadian, Marquetta talked about Canadian government's ongoing projects already. They are vetting AI with respect to UDHR, Universal Declaration of Human Rights. And also they are investigating the use of sex bots to spread the misogynistic messages to simulate rape. And then they're gonna start funding violence against women, violence against children projects to investigate how to abate AI to fight back. And also if there is a good project, they may fund the project investigating, instead of abating AI, using AI to fight back as well. And Ernest, okay. That's about the right length because we have 16 working groups. I see, okay, well, that's, and then, okay, I'll be very short then. Ernest talked about, in a custom making inclusion projects for different types of AI projects, Carlos already began ethical education of kids between 14 and 16. This is a very interesting project. He put children out there interviewing, for instance, janitors, and talk about how AI can be used to make their lives and jobs easier. And then the students will come back and imagine, formulate an AI project that meets, that solves, resolves the wishes of the janitors and other low income working people. Okay, well, I'm out of time, so I'm not gonna talk about my project. Hopefully I get a chance later. Thank you. Mention it briefly. Well, I mean, I'll have to repeat myself. I think that to make sure, to abate the polarizing effects of AI between haves and have nots, we really have to talk about how to equalize the ownership and use of big data. I mean, AI is just a software. It can be copied, a lot of people can have access to it. What's more important is making the data available more equally between different people. So two low hanging fruits. One, research on data protection law and check whether it is hampering or helping equality, because data protection law is supposed to be equality project, equality initiative, but is it really helping equality? And second is a quick research on open data movement, because the government holds a lot of data, sensitive and very useful data for AI, and what the governments around the world do, what the governments around the world do with that data have, will have enormous consequences on whether AI will be really inclusive, will be really equal for all people. Thank you. Thank you, KS. And obviously, we also immediately get back to the definitional questions. What are low hanging fruit? This sounds like a multi-year effort already to me, but great. Okay, who else wants to report back? So I'm being so willing to go first, just so that the one point I've picked is inside before I stand up. But so in our group, we were discussing that firms like these are sort of like preaching to the converted. So just thinking about how we can disseminate this information to other practitioners in our different situations and contexts. And one thing we are suggesting is that we each go back to our, wherever we are from and have seminars so that we can just tell other people about things like these. And in addition to that, we're going to create a repository and just put over there materials which can be used to drive these seminars, share links to presentations, articles, papers, and also try to have this material in different languages so that language barrier is not a thing. Everybody needs to know about these kinds of things. So yeah, thank you. Hello, oh, sorry. My name is Tobias Mala. I'm a law professor at the University of Oslo. And we had two low-hanging fruits. One was a list of ongoing research projects to inform other people. And the list I think should be open to others but limited to a circle here within the NOC in terms of who is included there because otherwise it can get difficult to manage, at least initially. And the second would be very similar here. Some kind of reading list or multiple reading lists that could be heavily curated to and focused. So one could be on law and governance issues and that would be an alternative to some kind of edited volume which takes many years to create where one could say, okay, in the reading list there is a gap. Can you write an article? You'll publish it somewhere and we'll put a list in a link in here. So something easier than edited volume but the same function. Thank you. Thank you very much. Thank you. Thank you. I'm incredibly excited both to report back on the amazing low-hanging fruits and community of practices we already identified in our group. And also to hear the other group reporting because it's really overlapping and there I can already see collaborations and joint activities between the groups. So the first low-hanging fruit which we defined, it's a kind of an umbrella which Stefan said that could be done in two hours. So listen, that would be a common interdisciplinary methodology to assess risks and opportunities of not only AI but emerging technologies in general so that whenever there's a new buzzword we have to react very quickly. We don't need to reinvent the wheel. And second low-hanging fruit, it's actually identifying what you call the communities of practices which we call the existing platforms and the collective intelligence we can tap into and we already have three very concrete projects with identified leaders and we can start developing them tomorrow. Do you want to know more? Yes. So first we need to target the international framework and policy making. We don't need to create a new IGF, we just need to go to the relevant UN agencies who are dealing with human rights, humanitarian and development goals and bring our evidence on AI and be present so that Sofia is not the only one talking to Antonio Gutierrez and that we are also able to shape the narrative and bring evidence-based policy proposal. Second exercise, it's a comparative low-mapping exercise and so I think we'll have volunteers from other groups in the same way it was done for exceptions and limitations for librarians by existing communities just identify quickly the legal obstacles and solutions to the principles which we identified, which are fairness, accountability, transparency in existing national and regional laws dealing with human rights, liability, access, et cetera and also map successful experiences of good projects related to AI. And last but not least, which coalition could we revive and transform in order to define our alternative copy left-like vision of AI? Well, the platform was elaborated already this morning during breakfast, I can't see Alex, but yes, you're the identified leader and the name of the platform, so which you devised is OpenAI. So it's the most exciting project to me personally and I hope everybody is going to get involved so the idea is to, I'm almost done. We'll revive, okay, revive CC, Comunia and follow up the bottom governance principles of Open AI. Sorry, thank you, thank you. Stephanie. Hi, thank you. Yeah, so we didn't talk that much about low-hanging fruits but we talked about making AI interactions visible for humans and about knowledge creation and awareness tracing in different contexts. So one of our concrete ideas was for each of us to go back into our respective communities and environments and to organize events under the headlines of AI for X and to have discussions and get feedback from people in our context around what expectations or hopes or fears that they would have around AI because we've talked about the different ways people talk in the different discourses around AI in our different contexts, whether it's more enthusiastic or more fearsome so it would be an interesting way to go back and raise awareness about the topic and the potentials but also then feedback into maybe the network of centers, what are the results of this discussion and... And would you say that could be a community of practice or a working group in an informal way? Would that fit that model or process potentially? Maybe, yeah. Yeah, so that was one of the ideas we had and then the next one was about having, because we talked about the different terminologies that are there and also especially when you come and work in a multi-stakeholder environment, we have very different understandings of what AI is and even here we've realized that very often we talk about machine learning and we talk about AI and they're very different things sometimes so we thought about some sort of living lexicon where people can, we don't try to determine what is but people can add their own different understandings and meanings what it is and it's one of the things that I think academics are good at doing, right? Unpacking the different meanings and it can be an output in itself also. So maybe we stop there. These are all great suggestions. Again, we will collect more of them but just that we get more voices. This could be maybe a project together with Wikimedia or Wikipedia, right? So it's an interesting thought to elaborate. Do you have one last quick point you want to make? You seem like not to want to let go of the mic. No, no, no. It's about visualizing AI in everyday life so like to come up with similar, I don't know, like plugins or browsers that visualize how and where you've interacted with AIs and how they've shaped the information and things that you're accessing. Excellent, thank you, Pranish. I'll be quite brief. So in our group we spoke not as much about low-hanging fruits in general but rather what individuals were going to take back and do following on. One was to change the conceptualization of existing research projects which they've already undertaken to add new methodologies to make the research more interdisciplinary since this conference shows the need for that. And another was to actually go and create a new kind of organization for creating new data sets. So digitizing books in this case since the person was a linguist and collaboration with Wikimedia Foundation came up here as well and funding is needed for things like that and once new data sets are available, there is less chance of larger companies involved in this saying we don't have good data to work on and that's one way of building inclusion. Another was to, for a person from the public prosecutor's office here, ensuring that the algorithms and the AI that's being developed is actually public in terms of all the code, in terms of all the facilities that people can examine it. And lastly, for a statistician saying that who has learned a lot about bias and unconscious biases that Creepin which he hadn't realized earlier to share these learnings in his peer group and that's not something that needs new structures or anything but needs plugging into and like in terms of existing seminar sessions that happen and new perspectives being essentially spreading organically through those. Thank you. Wonderful suggestions. I have like five ideas that I could immediately plug into what you just said. I won't do that right now but I will do it later up there. Yeah, hi, reporting back for the turtles and I can tie that into a lot of what has already been said. There were many suggestions in our group that people wanted to include these topics of AI and inclusion in their curricula because they are working as researchers and teachers in different organizations. So I think what's important here is what we already talked about, reading lists and resources and also chairs who are sitting here next to me said that we need to convey this in a way that my dad can understand it which I'm a journalist by profession know that this is not a law hanging fruit but for that we also need case studies and these case studies I think are really important and they should be included in any kind of reading list or information exchange that we are thinking about here as a group. Excellent, thank you. Let's take about three more report backs just to get the flavor of the richness of suggestions. John Merly. There really wasn't a whole lot here that people haven't already identified. We had a number of things that Melanie brought up such as copy left ideas and working on IP across different contexts. We also talked a lot about bridging conversation with industry, bringing industry further into this conversation. It was not part of this symposium specifically as much but it's a critical next step. Transparency also was a really big part of our conversation and again with a nod to Wikimedia was an idea toward open auditing and thinking about how transparency is limiting and who holds the power. These are the main points that we talked about. Not sure how low any of that is except that some of the work has already been done. Thank you John. The solution we come up with is that we have to treat bias as an accuracy and as engineers care for accuracy if we treat bias as something that is inaccurate and that's going to be eradicated from algorithms we are making them to care. And our third suggestion that's going to be very, very quick. Yes and the fourth, sorry, we have two groups of animals in one so we have like a double mini time. So the third suggestion had to do with coming up with a kind of mechanism that would encourage the openness and inclusion of the design of AI in different stages. So the first stage would be this one, awareness. For instance, having this kind of like an apocratic oath. We call it the Turing oath because we just switched the scientists for a more accurate one. You know, for engineers and the people designing the algorithms and responsible for them to be more aware about that. We also have the idea of positive reinforcement like giving some kind of badges and certification authorities given certification of accuracy or good quality of algorithms and inclusion. And the third one is a negative reinforcement thing that has to do with the response of the state with data protection law, with consumer law, et cetera. So we think that only having this cross sectional responses and stimulus, we are going to have an efficient way of opening up AI and making it more inclusive. Thank you so much. That's it, sorry, we have to move on, thank you. Thank you, applause though, great ideas. Okay, so reporting here for the zebras, zebra in Brazil is something that is unexpected, we say deus zebra. Deus zebra, it means something unexpected to happen. But here there is nothing that really is unexpected by the end of a set of initiatives already being planned. But our group, we didn't have so much of a low hanging fruit, but perhaps a fruit that is so big that we cannot ignore, which is some colleagues are doing already work on education, MOOCs, a lot of this came up. But one issue was that even in a conference like this, which is focusing on AI and inclusion, a lot of our references, a lot of our examples come from dominant Western players, right? So perhaps engage in a deeper mapping exercise and exercise of mapping and engagement, understanding what is going on, for instance, in Asia, in China, who are the big players, what are their initiatives. But also not only the dominant players, also what is going on in other continents, social movements in Africa and how we can engage that. And in this regard, also trying to engage the industry. Normally what the groups within companies like IBM or Google or Tencent, that will be engaged with AI issues, with ethical issues, is normally a small group, right? So how we can do that. And perhaps in this sense, engage forum like conferences where AI people go to. And one particular conference that came up was the NIPS conference, which is the NeuroInformation Processing Systems Conference, which seems to be the big AI event. So try to engage more at the industry in these different contexts. Excellent. Thank you. Thank you so much. Two more comments, please. OK, I'll be quick as well. I'm Jacques Ludic. I'm representing the Rhinos. Very quick, I think what we said is that if we can turn this symposium and this event, which is fantastic, diverse, and everything, if we can turn this into a collaboration platform, that we can plug into other platforms, that will be awesome. And for instance, I've got a Machine Intelligent Institute of Africa. And I'm going to plug in this type of thing there, for sure. And then the other thing is, we talked about industry as well. I think it's very important to plug into the partnership on AI. We've got all the major tech players there as well. And if we build a strong collaboration platform that plugs into that, plugs into other platforms, we can influence the world. Thanks. Awesome. Thank you. Hi, this is Andrea, reporting for the Foxes. After lots of discussions, we have came up with three action points. So the first one is to create strong communities, keeping in mind that countries and communities are starting from different places and assumptions. The second one is to map inclusion. So who isn't here? Who have we missed? And the third one is to process everything that happened. And the first action point related to creating strong communities, we had many different problems arising from different places. So we had the situation in Iran brought by Sadigi. She said the most technologies are brought from outside Iran. So how can we raise the concern about these technologies? Here in Brazil, IBM is concerned with the fact that girls are not really interested in tech and coding careers. We also had the case brought by Philip from Germany from top-down areas versus bottom-up. He believes that these discussions should be brought in front of the government. And we also have some cases from Asia in Slovenia and Alex in Africa and also Wolfgang in Germany, which I don't have the time to talk right now, so sorry. And the second action point, which is to map inclusion, we want to know what is missing and what are these successes so far in this inclusion. It was noted that there are really many people from China here in the symposium, and that's probably a problem. And the third one, which is to process everything that happened, we believe that we need to, after all the things that we've learned from this conference, to take this processing moment and think about other things we have learned here. The last one in the zoo. So we're reporting back from the Yaks with three super-quick low-hanging fruits. First is choosing a hashtag that we could all use when we publish information about this, so it's easy to track what everyone is doing. The second one is creating a mailing list or a LinkedIn group in which we can all communicate. And the third one that we think is key is that we should know that the conversation was sparked in this event, replicate some of these events at the local level so that we bring this agenda back to our home countries and start the conversations there. Thank you so much, it's been awesome, thank you. So what we will do, as you know, this afternoon, there is a network of centres meeting to which actually everybody is invited. I also understand for those who are not part of the network, if you prefer to go to the beach, honestly, but should you be interested in joining, please join us this afternoon. So what we will do is we will take a closer look at the notes that you've submitted and of course also the notes taken during this feedback round and see which of the proposals that have come up, where can the network be helpful and support some of these initiatives, where can we connect just based on the networks we have, some of the proposals to other communities we mentioned, we can media a number of times and many others. So we will work on these proposals and get back to you over the list. We also have a network of centres email list that may actually be a starting point so that we may not have to create the new one immediately. So we will follow up with a number of specific ideas how to turn these wonderful kaleidoscopic suggestions into an action plan or a roadmap that we can work on collectively. But again, thank you so much. Before I turn over to Carlos, we wanted to show you the outcomes of our creative exercise from yesterday, the flipbooks and Tiago, thank you so much for your extremely hard work, big applause, thank you. It's creative comments, share alike, non-commercial. Amazing, thank you guys. Guys, that's amazing, such a wonderful and inspirational video. So before we conclude, we have a quick activity for you, of course, this action-packed event. So you guys are receiving a final gift from our event. Nobody leaves empty-handed. So you're receiving postcards from Rio, very different ones. Some with the sugarloaf, some with the Chrysler Redeemer, some with the museum of tomorrow. So if you want to, and it's not mandatory, of course, but if you want to, could you leave us a testimonial about what you learned in these events, if you like it or not? Just a quick, like a Twitter-length testimonial of this postcard from Rio, that will be really, really helpful for us to prepare future events, prepare future initiatives, and have this as a memento for those three days that we end up spending here in Rio. I hope you have a pen with you. But we have two baskets located on the side of the auditorium, so when we finish this final session, and when you leave the auditorium, leave your postcard there, and we will make sure we will send it to the interest parties that needs to hear about it, and to make sure that this workshop, this seminar might be turned into something bigger than that, even a platform, someone said. So you guys are receiving your postcard. Feel free to pick one that you like. If you don't like the photo that you have, there's a plenty of other options. So yeah, choice is included. So as we transition to this last and very quick session, we want to say a couple of thank yous. There are much, much needed after those three days. If you don't get your postcard already, we have a couple of more there, so just make sure that you pick it up. So Urs, do you wanna say a quick few words of thank yous? Before we conclude or? If possible, if I may suggest that the ITS Rural Embarking Client Team gets on stage for a big applause, you guys are amazing. We want to see you, come, all team, assemble, please. Come on guys, don't be shy, get on stage. Here's the team. Is the stage big enough for all of us? Thank you guys, thank you so much. Clearly, we have critical mass for a soccer match after it's, no thank you, you've been amazing. ITS Rural, very, very grateful for this collaboration. It's been an intense couple of months, fun three days to be continued this afternoon. And let me just say one thing. Of course, we talked about really important issues here, but perhaps even more important or equally important is how we have talked about the issue. So, going back to what Carlos mentioned in his opening remarks, I think we have created the spirit of Rio in a very nasty world where we are opening our virtual newspapers and turn on TV and are showered with really depressing news and see so much hate and see so much negative ways of, you know, fighting each other and going against each other. I think this spirit of Rio is in sharp contrast to that and gives me personally a lot of hope that actually we can come together from all over the world, over 40 countries represented here, that we have the power and the spirit to actually engage on hard problems in the spirit of friendship and mutual respect. So, very personal thanks to the team who has enabled that, but also to all of you who have helped to co-create and peer-produce this event. So, thank you again very much. So, guys, thanks everyone. This has been a super, super event for all of us. So, just a couple of logistical announcements. So, this is not the end. So, we are breaking for lunch and as Urs has mentioned, the next session is NOC meeting. So, what can we expect for the NOC meeting of this afternoon? Since a couple of you, probably this could be the very first NOC event or meeting that you attend, we're going to do a quick recap of, or finishing already, a quick recap of the NOC about the history and previous activities and research projects, talking a little bit about the hubs and then transition to an explanation about two very important documents. First one is the roadmap. That's the guiding charter for principles, for research topics, methodology and activities for two years. So, we are almost finishing this first year of ITS, being the coordinator of the NOC. And I think it's a good opportunity for us to see how we fare and how we stand in connection to our roadmap for those two years. And then we're talking as well about the yearly updates, which is the survey that some of you end up answering in the beginning of the year. So, it's gonna be good for us to take a look on a broad picture of how the NOC looks like having the answers off the yearly updates. And after we finish that, we are going to talk about future collaborations and about the role of NOC in the discussion on AI and inclusion. So, this very last segment has a segue to the final chunk of our discussion in the afternoon. And guys, this is just me being talking about logistical and practical issues. Is there anything else? Sandra, you want to go ahead? Fine. Hope you are not tired as me. Thank you for everything to all the team. Well, while we are going to have lunch here with Leonela and with Sandra, we are going to be in the observatory talking about Connectados Al Sur and all the job we are making with youth and AI and technology. So, the one who want to join us just come to the observatory. Okay, I just wanted to say that we are not making you work more. I promise it's totally informal. And as we are organizing this new symposium in Costa Rica this January, I think it's a great chance for those of you who wants to keep working, focusing on youth and AI to come to Costa Rica, visit another wonderful country and having fun with us as well. So, we meet at the observatory and if you want, you can bring your food and we're just going to have a chat. Thank you. Thanks, guys. And let me just conclude saying for those of you who might have a want to switch temperature from Rio to Geneva, there is a workshop on day one of IGF that is conventionally called AI and Inclusion, which is the NOC workshop on day one of IGF to continue this conversation. So, if you have plans to go to Geneva, I bet the weather is going to be as good as it is outside today. We have this workshop planned for day one of activities on IGF. So, please do come by. It will be great for us to continue to continue this conversation. Guys, so this is the end of this morning session. Thanks again very much to the Museum of Tomorrow for hosting us. What a great venue was it? Come on. It was really, really great. And well, it will be odd for me to thank the ITS team since we are almost a family and see each other every day. But guys, thanks again. You did an awesome job. How great is to be able to work with you every day and to make this beautiful event possible? So, a round of applause for ITS team, guys. And finally, I think a really large round of applause is needed for those guys who are on the front front of research and activities on issues on internet and society. So, the guys from the Bergman Klein Center, we couldn't be more happy to work with you in these events. It's going to be a pleasure, it was a pleasure for us. We learned a lot from you guys on organizing these events. So, thank you, thank you very much for this partnership. It was incredible. And of course, we want to continue with this partnership for other events and other activities. So, guys, a round of applause for Bergman Klein Center team. Thank you.