Meeting Date & Time

    • 09:00-10:00 PT / 16:00-17:00 UTC 

Zoom Meeting Links / Recordings




Main Goal of this Meeting

This is the AIM TF's #8 meeting.

Our main goal is to have individual member presentations on what problems/challenges they see in AI & Metaverse related to trust.

Agenda Items and Notes (including all relevant links)

TimeAgenda ItemLeadNotes
5 min
  • Start recording
  • Welcome & antitrust notice
  • Introduction of new members
  • Agenda review
  • 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
5 min
  • Introduction of new members
  • Recap of last week's meeting
  • Status update on action items
  • Any general announcement, news, that could be of interest to the TF

Some of the links from the slack channel:

Neal Thomson Neil Thomson : BI, Data semantics

Mary Lacity MOBI (blockchain & IoT): Mobile Open Blockchain Initiative - invitation for someone in ToIP to present there. Connect with Judith Fleenor 

20 minsVerifiable Oversight on AI SystemsIain Barclay 

Slide deck:

  • Wenjing Chu what verifiable credential (VC) specifically add rather than DID (authentic parties) + data management (e.g. Git)? Iain Barclay May apply to higher level constructs and inquiries.
  • Neil Thomson what is the difference between VC and 'verifiable data'? maybe over-burdening by throwing into VC as a single data container format?
  • Vikas Malhotra What attributes? Will the attributes vary depending on where the data assets are? Who is carrying data in different buckets. Would we come up a recommendation with these roles? A work item in this TF?
  • Mary Lacity How do you see this method applied to the "models" - in addition to datasets/source? BOM + Metadata. Probably reputation is also a factor. Examples in medical study/trial processes. e.g. data sheets with all side effects etc.
  • Wenjing Chu My previous research paper also discusses this:, where our research tries to capture the entire AI pipeline, including data sources, user interaction, models, and deployments.
  • All: Questions for this Task Force: can we work out a recommendation on how to address this ?
  • Mary Lacity Ongoing work that may present to ToIP 
  • Wenjing Chu For scalability/efficiency needed, we may also look at how software developers use Git or to extend Git to data and AI models etc.
20 minsHow AI & Metaverse intersect with ToIP stack? New design principles for ToIP stack?Wenjing Chu 
5 minsWhen and how to start the phase 1 white papersankarshan Postponed to a later date TBD
5 mins
  • Call for presentations for October 13
  • Review decisions/action items
  • Planning for next meeting 
  • AOB

Call for action: Can this TF work on recommendations of these aspects raised in Iain's work.

Screenshots/Diagrams (numbered for reference in notes above)



Action Items

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