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AI incidents, audits, and the limits of benchmarks

Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and founder of the AI Incident Database, discussed AI safety, verification, and evaluation on the Practical AI podcast. He highlighted the limitations of current AI benchmarks and the importance of understanding real-world AI incidents. McGregor emphasized that practical AI is about systems with tangible consequences, and it's crucial to examine where these systems go wrong. AI

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RANK_REASON Podcast discussion featuring an expert on AI incidents and evaluation, covering practical AI safety and benchmark limitations.

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AI incidents, audits, and the limits of benchmarks

COVERAGE [1]

  1. Practical AI TIER_1 · Practical AI LLC ·

    AI incidents, audits, and the limits of benchmarks

    <p>AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification &amp; Evaluation Research Institute and also the founder of the AI Incident Databa…