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)
Time
Agenda Item
Lead
Notes
5 min
Start recording
Welcome & antitrust notice
Introduction of new members
Agenda review
Chairs
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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: https://arxiv.org/abs/2102.06362, 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 ?
