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Insurance coverage for AI-related losses

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Insurance coverage for AI-related losses can involve conventional business policies and products designed for AI performance risk. A facial-recognition coverage dispute, Citizens v. Wynndalco, concerned a business liability policy; Munich Re separately describes aiSure products for AI providers and deployers. The starting point is the insured loss and the wording of the relevant contract.[1][2]

Mapping a loss to insurance

The following is a reading guide to potentially relevant coverage, rather than a determination that any particular AI claim is insured. California's insurance regulator advises reviewing coverage, exclusions and endorsements together when assessing business insurance.[3]

  • Bodily injury, property damage and advertising injury: commercial general liability policies address specified liability exposures. Their coverage grants and exclusions determine which allegations fall within the policy. AI involvement is one part of that factual analysis.[3]
  • Errors in technology products or professional work: errors-and-omissions coverage is a relevant starting point for a customer's alleged financial loss from a deficient technology product or service. Travelers describes technology E&O in terms of errors, omissions and negligent acts in the insured's products or services, and emphasizes matching the insured services to the business.[4]
  • Cyber incidents and resulting liability: the FTC distinguishes first-party response costs and business interruption from third-party claims, settlements and litigation costs. It recommends checking vendor-held data, geographical scope and defense wording.[5]
  • Media, computer fraud and social engineering: Travelers' June 2020 CyberRisk Tech sample separates media liability from computer-fraud, funds-transfer-fraud and social-engineering grants. These are distinct wording questions when evaluating, for example, a hypothetical defamatory AI output or impersonation fraud.[6]
  • Employment claims: The Hartford describes employment-practices liability coverage for claims such as discrimination, harassment and wrongful termination. Allegations concerning an AI-assisted hiring decision would require analysis of the particular insured act and exclusions.[7]
  • Management liability: review the applicable directors-and-officers coverage and endorsements where a claim concerns management's AI decisions or disclosures. The Berkley form discussed in AI exclusions and insurance policy wording expressly amends a directors-and-officers form, alongside employment-practices and fiduciary forms.[8]

Defense, indemnity and performance

A duty to defend concerns supplying a legal defense; indemnity concerns payment of covered liability. In Wynndalco, applying Illinois law, the Seventh Circuit assessed potential coverage of the underlying allegations and affirmed a duty to defend. Its June 15, 2023 opinion provides a concrete example of why the defense issue deserves separate analysis.[1]

AI-specific performance products address a further type of risk. Munich Re describes aiSure-backed performance warranties for providers and coverage options for deployers' AI-related financial losses. These descriptions identify a product approach; an issued contract supplies the insured performance measures, limits and other operative terms.[2]

Research on insurability

In their September 16, 2026 RAND report, The Insurability of Artificial Intelligence, Sasha Romanosky and Celine Robinson examine U.S. litigation, state laws, AI incidents and admitted-market insurance filings. They describe uneven insurer responses: express coverage for some risks, AI exclusions, and policies that leave AI treatment unspecified. Their analysis treats AI losses as a problem spanning multiple insurance lines.[9]

The authors recommend an AI Coverage Notice explaining where coverage is affirmative, excluded or silent, standardized incident reporting, and analysis of correlated losses from shared models, infrastructure failures and regulatory changes. These are recommendations for regulators and the insurance industry.[9] See AI exclusions and insurance policy wording for examples of contractual language.

References