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TechnologyArtificial Intelligence

AI Governance and Compliance: Building a Program for the EU AI Act, State AI Laws, and Everything After

Artificial intelligence regulation arrived faster than most compliance functions expected and in a shape most were not built for: a comprehensive European statute with extraterritorial reach and staged deadlines, a growing set of state laws targeting algorithmic discrimination and disclosure, a federal posture that swung sharply between administrations, and enforcement by agencies applying decades-old consumer protection, employment, and lending statutes to new technology. This article maps that terrain and then explains how to build a governance program that satisfies most of it at once. It covers the EU AI Act's risk tiers, prohibited practices, high-risk obligations, general purpose model rules, and penalty structure, along with who counts as a provider and who counts as a deployer, which is the classification that determines everything else. It then covers the American picture: Colorado's algorithmic discrimination statute, Texas's intent-based approach, Illinois and New York City employment rules, California's transparency and training data laws, and the federal agencies enforcing existing law against AI systems. A long practical section covers the program itself: inventory, risk classification, impact assessments, human oversight design, testing and documentation, procurement and vendor contracts, incident response, and training. It closes with checklists, a worked example, an FAQ, and related reading.

Casey Scott McKayFebruary 23, 202525 min read