Liquid AI: Accountability and governance of transnational AI systems.
summary
Panel shows that face‑biometrics infrastructure is harvested and re‑used at scale: a collected corpus of 300 datasets totaling 100+ million images includes 7.5 million Flickr photos and MegaFace’s ~4.7M examples, and datasets like Microsoft’s 10M set have 106 verified citations and continue circulating after takedown. A searchable tool maps which Flickr accounts end up in which datasets; enforcement gaps in the GDPR one‑stop‑shop and calls for radical transparency and a dedicated AI expert body aim to force audits, registries and civil damages.
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chapters (18)
- 0:00Introduction
- 3:57The use of data
- 9:10Demo
- 15:34Ethics
- 22:34Participation and oversight
- 26:54Incentives
- 28:14Liquid AI
- 36:26International supervision
- 41:54Dispute resolution
- 45:31Remarks
- 48:41Questions
- 50:24Issues
- 51:09Transparency
- 52:14Access
- 53:04Eurocentric
- 55:11Ghost work
- 57:00Closure
- 58:32Governance
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