https://zoom.us/rec/share/xLVWYvv9P0rVgxtDJg_1f6qEcNHh2bvq6n2hJisHuzU9o06LwMBmIBncSeRwv0gm.yRI4DeB7QZyerLKT

Time

Agenda Item

Lead

Notes

5 min

• Start recording

• Welcome & antitrust notice

• Introduction of new members

• Agenda review

• Assigning minutes taker

Chairs

• Antitrust Policy Notice: Attendees are reminded to adhere to the meeting agenda and not participate in activities prohibited under antitrust and competition laws.

• ToIP Policy: Only members of ToIP who have signed the necessary agreements are permitted to participate in this activity beyond an observer role.

• ToIP TSWG IPR Policy: see TF wiki page. AI & Metaverse Technology Task Force. Please remember that TSWG2 has transitioned to a new IPR policy using OWF license.

5 mins

• Introduction of new members

• Any general announcements, news, that could be of interest to the TF

• Last week's action items

All

• Action item update:

  • ACTION: create GitHub using specup template for keeping track of issues and drafting spec - DONE

    https://github.com/trustoverip/authentic-ai/discussions

  • ACTION: @Neil Thomson to write up a "travel" use case

  • ACTION: @Wenjing Chu to write up a "prevention of communication/internet based fraud" use case - DONE

  • ACTION: @Anita Rao to write up Wearable AI use case - Done

• News

10 mins

IIW Recap

@Wenjing Chu 

@Savita Farooqui 

@Drummond Reed

 @Judith Fleenor (Deactivated) 

@Eric Drury 

ALL

The word AI was everywhere.

Content authenticity was discussed. Focus is on Media assets rather than text itself.  UI/UX session for content authenticity from Adobe. Trust walk challenge is deeper. 

There are tools being built to identify which LLMs are trust worthy. Try to trace history. Machine Level trust is a challenge. 

https://www.getgather.com/ Presentation from Gather. Presented on what they are doing to create a personal AI Agent. iOS app is out there. 

There was a presentation from Kwaai. By Reza Rasool

 https://www.kwaai.ai/ Co-operative effort to create open source AI (personal AI).

Personal AI - is it using personal data in the context of larger data set.

20 mins

Discussion on GitHub

@Wenjing Chu 

• Show how discussion works on GitHub repo.

• Invite/welcome everyone's contributions

• The outcome we are looking for

15 mins

Solution proposals

ALL

The current proposal is to combine TSP and C2PA (and  other options for non-image data).

• How such a solution may help in each identified use cases

• What does it take to spec out such a combination

• Application scenarios

• How to start a draft outline

Where the component will site. How is personal data used? Put the content in summarized text? Use case overview has a template. No limit on the # of use cases at this point. Later we may merge some. Right now collect all the ideas.

5 mins

• Review decisions/action items

• Planning for next meeting 

• AOB

Chairs

NEW ACTIONS from the previous meeting postponed to the next meeting.

• ACTION: Ask your contribution on use cases (continuing) and solution space (beginning).

• ACTION: Invite someone from a Personal AI company to talk to us. We need a session dedicated to Personal AI. Need to understand how much Personal data is collected and how it is used.

• ACTION: ALL Update use cases https://github.com/trustoverip/authentic-ai/discussions

• ACTION: @Eric Drury Propose a use case template.  https://github.com/ivylee/model-cards-and-datasheets?tab=readme-ov-file

• ACTION: @Wenjing Chu will start with a diagram to reflect how AI today works. Where data is collected used and where it goes and is used in inference procedure and used for training procedure. What shows up in each step. Where the model shows up. Data picture of the landscape. Publish a data sheet. Essential data about the product. Informal template. Helpful as the beginning point of the discussion.