Topic

US State AI Laws

US state AI laws represent legislation enacted by individual states to govern artificial intelligence systems, covering areas such as algorithmic transparency, bias auditing, data privacy, and AI use in specific sectors like employment, lending, and law enforcement. These laws create a fragmented regulatory landscape that enterprises must navigate, as different states impose varying requirements that can conflict with each other and federal regulations. Understanding state-level AI regulations is critical for organizations operating across multiple jurisdictions to ensure compliance, avoid legal liability, and adapt their AI governance frameworks accordingly.

1 item

ResearchGlobal2026-07-08

Eight Governance Themes from 2025 Reveal Widening Gaps Between Regulatory Ambition and Enterprise Readiness

A year-in-review analysis by AI governance practitioner Oliver Patel identifies eight major governance developments from 2025, including new US state legislation, ISO/IEC 42006 audit standards, and successive EU AI Code of Practice drafts. The review highlights that compliance teams are now operating across an increasingly fragmented regulatory landscape where frontier AI transparency requirements, international audit standards, and state-level disclosure obligations are advancing at uneven speeds. Third-party AI vendor risk programs and model risk governance functions face the most immediate pressure to adapt.

ISO/IEC 42006 EU AI Code of Practice frontier AI US state AI laws audit standards multi-jurisdiction compliance third-party vendor risk regulatory fragmentation