Safeguarding AI: How to Manage AI and its Potential Risks
summary
Covers concrete failures and fixes: the 2019 Goldman Sachs Apple Card bias episode and an Air Canada chatbot hallucination that cost arbitration awards, the use of a Virginia Commonwealth Data Trust cloud data lake to share GIS and agency data, NIST’s AI risk framework as a usable standard, and a proposed personal Data Vault / C3 model that claims an individual’s lifetime data value ~ $12.5M. Notes petabyte training data, McKinsey’s $480B public‑sector productivity estimate, and California’s controversial SB 1047 penalties.
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chapters (9)
- 0:00Introduction and speakers
- 2:57AI risks with real examples
- 8:45NIST framework for AI risk
- 14:04Data control and C3 framework
- 20:50AI hype and government lag
- 21:52Audience Q&A on AI education
- 23:18AI policy and government trust
- 24:46Government agility in AI adoption
- 25:28Closing remarks
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