Regulation & Legal Frameworks

The regulatory landscape for AI is evolving fast, and the approaches vary significantly by jurisdiction. The EU's AI Act introduces tiered obligations based on risk level, with outright bans on some uses and strict requirements for high-risk applications. The US is pursuing sector-specific guidance rather than a single comprehensive law. China has introduced targeted rules on algorithmic recommendation, deepfakes, and generative AI. Standards bodies like ISO and NIST are publishing frameworks that may become de facto requirements even where they're not legally mandated. For businesses, this isn't background noise - it shapes what you can build, how you deploy it, and what documentation and testing you need to have in place. The areas where law hasn't caught up are equally important: liability when AI causes harm, intellectual property questions around AI-generated content, and the tension between data sovereignty rules and the inherently global nature of AI development.