Topic archive
Regulatory and governance coverage for AI, technology operations, privacy, safety, and public-sector decisions.
The White House has released a National Policy Framework for Artificial Intelligence containing legislative recommendations that propose sector-specific oversight, age assurance for minors, child safety features, and federal preemption of certain state AI laws. The framework outlines a federal approach to AI regulation.
Guidances Staff · Updated June 14, 2026
Anthropic has restated its view that the social effects of AI should be addressed through policy design and that a single federal standard is preferable to a fragmented set of state rules. The message highlights how predictability and consistency can influence product design, compliance costs, market expansion, and infrastructure investment.
Guidances Staff · Updated June 14, 2026
Georgetown University's Center for Security and Emerging Technology (CSET) has published an analysis of AI red-teaming methodologies. While red-teaming is gaining attention as an evaluation technique to discover flaws and vulnerabilities in AI systems, practices vary widely across organizations and few established standards exist. This raises challenges for consistency and comparability in AI safety evaluation.
Guidances Staff · Updated June 14, 2026
The Organisation for Economic Co-operation and Development (OECD) has published a report examining how public entities are deploying artificial intelligence in procurement operations. The report finds that governments are using AI to reduce costs and processing timelines, enhance transparency, and broaden vendor access. AI applications span spend analysis, risk management, supplier scouting, and contract management, prompting policymakers and procurement officials to focus on governance frameworks for these systems.
Guidances Staff · Updated June 14, 2026