Wenjing Chu 

• This will be the second iteration of draft proposal for soliciting feedbacks/interests. If there's sufficient interest to pursue, we will come back to have a deeper discussion on Dec 21 (which will be the last meeting of TF for this year).
• We discussed the document and made updates to the document. See document. 
• We reviewed the draft Wenjing Chu created and all the comments we had received on the google doc. The proposal is to produce a timely report on this hot topic but stay in the authentic AI / trustworthy AI area which intersects ToIP's tool kit (e.g. VIDs, TSP, ACDC, ... ).
• Daniel Bachenheimer questioned why it's only "authenticity" - Wenjing Chu explained that he is borrowing the concept from C2PA where authentic content meant not only authenticity of the author/creator but also integrity of the image (not being tampered with). One of the first comments in the google doc is also defining terms clearly as part of the work.
• One  of Steven Milstein 's suggestions is to have a 'case study' to focus application use cases. Wenjing Chu proposed e.g. on RAG style AI applications. We had a discussion and agreed we should also generalize RAG into dataset management to avoid closely tying to a solution that may become dated or narrow quickly.
• We had a discussion around using C2PA for content authenticity (through provenance metadata) and use VID + TSP for communication of such content therefore combing two techniques for a complete solution.
• We had a discussion on parties in AI ecosystem e.g. consent, agreement, license, leveraging VID + TSP + ACDC etc. and apply such a solution to the case study.
• We also discussed, even though we should start with a case study, if we get more attention and contribution, we could apply the same solution scheme to other use cases.
• We will recap and resume the discussions at the Jan 18 meeting in the new year.

ALL