Bias Bounty

A program — analogous to a bug bounty in cybersecurity — that rewards external researchers, affected community members, or the general public for discovering and reporting algorithmic bias or harmful behavior in an AI system. Bias bounties operationalize the idea that internal testing cannot anticipate every failure mode, especially for harms affecting groups not represented in the testing team. Twitter/X and Lensa AI have run bias bounty programs. The practice is emerging as a voluntary governance mechanism and may eventually be referenced in regulation. For small teams, participating in an external red-team or bias testing exercise with diverse testers serves a similar function at lower cost.

An AI hiring company launches a bias bounty program, offering $500–$5,000 to external researchers who can demonstrate that its resume screening model systematically disadvantages applicants from specific universities or demographic groups.