2023-01-19 AIM TF Meeting Notes
Meeting Date & Time
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- 09:00-10:00 PT / 16:00-17:00 UTC
Zoom Meeting Links / Recordings - Jan 19, 2023 (I made a mistake in the Slack message. It's on 1/19.)
Meeting: https://zoom.us/j/97604264531?pwd=NXB3S2d6bldidVVjVFlYVmpwallBZz09
Attendees
- Wenjing Chu
- Zaida Rivai
- Sandy Aggarwal
- @Callum (BC)
- Daniel Bachenheimer
- Neil Thomson
- Judith Fleenor
- Chi Hwa Tang
- Kaliya Young
- Jacques Bikoundou
Main Goal of this Meeting
This is the AIM TF's #14 meeting.
Our main goal is to have individual member presentations on what problems/challenges they see in AI & Metaverse related to trust.
Starting in the new year, we plan to start drafting white papers which are the first deliverables of the task force.
Agenda Items and Notes (including all relevant links)
Time | Agenda Item | Lead | Notes |
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45 mins | Planning discussion continued: planing goals for 2023 | ALL | In the last meeting on Dec 15, a lot of great questions were raised. The following is an imperfect summary of these questions, answering them clearly will help us clarify what our goals should be. For reference, the current version of the TF charter info is here. (1) What type of work or role we should do/play in ToIP and in relation to the broader ecosystem - i.e. our role: standards, how does it relate to other groups, possible collaborations with X, Y, Z... (e.g. Vikas Malhotra IEEE, Sandy Aggarwal Hyperledger...) (2) A more clear statement of focus. This statement should give us clear direction and scope. (3) Concrete plan of actions and deliverables for 2023. Wenjing Chu will share a straw-man proposal as the starting point of discussion. Here is the "one-pager" slides: Here is the Miro chart that Mary and Zaida created: https://miro.com/app/board/uXjVOkJb1Ow=/ Please complete both before our next meeting.
============== From Dec 15, 2022 Minutes: Wenjing Chu : see slide here: Zaida: wrap up presentations and put in Miro and see what we want to see. Callum: Didn’t do a presentation, but would be willing to do one. Sandy: Are we just going to do standards, or can we collaborate? Or is this just for fun? How much are we going to bring? Is our task to be coming up with standards, what are the others doing? What exactly is the purpose of our group? Are we also establishing ourselves as a standards helping body? What is the role that we are going to play? Pulls notes on research on this. What is the current spanning on the metaverse today? Do anything of those relate to AI and Metaverse. Callum: documented deliverable what it means for the future Sandy: Maybe we should bring in industry experts? In the overarching eco-system where do we sit? Part of ToIP and Linux foundation. We are focused in the Metaverse. Wenjing: Maybe we should rethink, but originally it was set up to do two things: 1) Exploration, to get as wide and diverse and collect as many opinions as possible. We wanted to collect from experts what kind of new problems/challenges you could think of like ToIP mission or 4 layer architecture. What is the problem with the AI and Metaverse applications oppose. What problems are out there? 2) Write down recommendations, how do we recommend to the individuals to deal with these problems. The presentation I made was done on the observation both Metaverse and AI made the Decentralised Identity (identifier) kind of obsolete, because these identities are handled in some way. Your body has plenty of information, which you cannot hide. Therefore, those issues in the current architecture pretend these issues do not exist. This would be one example. Some were more academic. Current AI systems with Metaverse setup, what can they find out about you. What do people need in order to feel trustable? Lot of academic research done already today that answer this question of how to solve this. The white house presented a set of principles. Next year: come back to wrap up and see what we actually want to deliver. And then we are going to summarise these challenges that are relevant and a second thing we want to deliver is a recommendation. In ToIP this can be done in two stages, high level: where do we want to be or come up with a few principles (would be very high level). We could add some principles to the list of 17 principles or write more specific recommendations. In case of the latter, which could be a technical specification, protocol, government specification, but those take much longer. It was suggested to be open and much better. Sandy: We can say “identity in the context of AI and Metaverse” if we talk about “AI and Metaverse” thats too big, we are actually talking about “How does AI come into play” We need to come up with a definition of what we want to focus on. Wenjing: We are not doing AI nor metaverse, we are doing ToIP. We have a picture that ToIP is proposing and the question is, if you propose a future environment, what is the stack going to look like? We want to create a trustworthy environment. Today, we are focusing on existing services. We may or may not update this stack in order to support the future emerging services. And we take AI and Metaverse as two focus points. There is a lot of work we can jump into. How to create identity? Digital assets? Avatars? AI powered agents? These could be more concrete directions to go to, it is a possibility. If this is a more productive way of jumping into something, we could absolutely switch our direction here. Sandy: Will do a paper and will share a link. Wenjing: There are multiple things. 1) What data to disclose, what not. If I provide content, how do I want to get paid. You need a lot of things, like biometrics, that needs a lot about me. But its much bigger than just biometrics, they know a lot more. 2) Agents: describe environments and come up how we manage. Sandy: how are AI agents use today by for example, games. Microsoft has the working Metaverse platform Mesh. Meta when it came in didn't have legs, because it is somehow very difficult. They were using AI to create legs. How is AI going to be used? In terms of speech? Chatbots? Visuals? And how do these come to play? Is the goal of our TF to come up with a recommendation in the design principles? Then we need to know what the shortcomings are. What are the challenges. Then we can say, because we know these challenges (like the leg-problem) then we need to know what to fix. Might know some people that are specialised in the AI side, that know these problems. Some proposed action items:
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5 mins |
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