Could a private insurance market play a significant role in compensating for AI-related harms and incentivizing companies to engage in more effective AI governance? Phil Dawson of Armillla AI explains why AI insurance is emerging as a distinct product category, why traditional policies aren't effective at addressing AI risks, and what AI insurance actually covers. Dawson details Armilla's journey from AI testing platform assurance provider to, managing general agent for AI insurance policies, arguing that the company's AI audit experience gave it the risk data and evaluation capabilities needed to underwrite AI systems. A key turning point, he says, was realizing that as companies received reports showing how their models performed or underperformed, they became more concerned about risk, and insurance emerged as the next logical step to build trust.

Dawson identifies the absence of claims data as the central challenge for AI underwriting, which forces insurers to rely on proxy signals. He argues that policymakers can help by incentivizing transparency, disclosure, and third-party assessment. Drawing on lessons from cyber insurance, Dawson contends that risk-based pricing must be grounded in system-level governance evaluation. He also describes Armilla's partnership program, which connects insured companies with AI governance platforms, auditing firms, and certification bodies, ultimately driving improved AI governance maturity across the sector.

Philip Dawson is Head of AI Policy and Partnerships at Armilla AI, an MGA and Lloyd's cover holder that provides dedicated AI insurance products. A lawyer and public policy adviser, he has spent nearly a decade working on AI governance, including early involvement in the drafting of the OECD AI Principles and roles at Element AI, the United Nations, and the Harvard Kennedy School's Carr Center for Human Rights Policy. Transcript

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