AI-generated artworks are increasingly entering galleries, auctions, and private collections. In 2018, the AI-generated portrait Edmond de Belamy sold at Christie’s for $432,500, marking one of the first high-profile sales of an artwork produced by a generative algorithm. Since then, artificial intelligence has become part of contemporary artistic practice and works created with generative systems are gradually appearing in institutional collections and private holdings.
As these works begin circulating within the art market, insurers are encountering a practical question: how should AI-generated artworks be underwritten within existing fine art insurance frameworks?
Traditional fine art insurance policies were developed around assets defined by identifiable human authorship, established provenance, and relatively stable valuation benchmarks. These elements allow underwriters to determine insurable interest, support agreed value coverage, and assess potential loss scenarios.