AI Evidence

AI evidence refers to the records, logs, documentation, test results, and other artifacts an organization can produce to show how an AI system was built, tested, deployed, and monitored. For compliance and legal teams, it is what turns a claim that a system is safe or fair into something that can be checked by a regulator, auditor, or court. Regulations such as the EU AI Act and emerging US state rules increasingly require companies to keep this kind of documentation, so gaps in it can create liability even when the underlying system performs well.

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Corporate PolicyUS2026-11-14

HSI Demands Auditable AI Outputs and Source Citations for All Criminal Investigations

Homeland Security Investigations (HSI) has stated that any AI tool used in federal criminal investigations must produce auditable outputs with citable source documents. All investigative materials are subject to legal discovery. Peter Hatch, HSI's principal assistant director for intelligence, made the requirements explicit at a public event and said vendors who cannot meet them will not be considered. HSI currently operates nearly a dozen deployed AI use cases and has five more in pre-deployment phases.

Homeland Security Investigations federal AI procurement auditability human oversight law enforcement AI explainability AI evidence discovery