Red Teaming as Synthetic Loss Data

They propose red teaming and evals to generate frequency and severity estimates insurers can plug into pricing models.

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Rune Kvist and Rajiv Dattani, co-founders of the AI Underwriting Company, reveal their innovative strategy for unlocking enterprise AI adoption. They detail how certifying and insuring AI agents, through rigorous technical standards, periodic audits, and insurance, builds crucial "AI confidence infrastructure." This discussion explores how their model addresses AI risks, enables risk pricing in nascent domains, and aligns financial incentives for safe, responsible AI deployment.

LINKS:

AI Underwriting Company

Sponsors:

Tasklet:

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Shopify:

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PRODUCED BY:

https://aipodcast.ing

CHAPTERS:

(00:00) About the Episode

(02:53) AI Risks and Analogies

(09:14) Insurance, Standards, and Audits

(14:45) Insuring Ambiguous AI Risk (Part 1)

(14:54) Sponsor: Tasklet

(16:05) Insuring Ambiguous AI Risk (Part 2)

(25:26) Managing Tail Risk Distribution

(27:45) Introducing The AIUC1 Standard (Part 1)

(27:50) Sponsor: Shopify