Topic

AI Policy

AI policy encompasses government regulations, corporate guidelines, and institutional frameworks that govern the development, deployment, and use of artificial intelligence systems. These policies address critical concerns including algorithmic bias, transparency, accountability, data privacy, and safety standards across sectors like finance, healthcare, and government. For enterprises, understanding and adhering to AI policy is essential for managing legal risk, maintaining stakeholder trust, and ensuring that AI systems operate within established ethical and compliance boundaries.

2 items

Corporate PolicyUS2026-05-10

GSA Establishes EDGE Board and AI Oversight Committee Under Updated CIO Directive 2185.1A

The U.S. General Services Administration has published its AI Strategies and Compliance Plan, establishing a formal AI Governance Board known as the EDGE Board, co-chaired by the agency's Chief Data Officer and Deputy Administrator, alongside a cross-functional AI Oversight Committee responsible for reviewing all internal AI requests and enforcing privacy and security controls. The updated CIO Directive 2185.1A expands the agency's AI governance scope beyond generative AI to cover the full spectrum of AI systems in use or under consideration at GSA. The structure sets a precedent for layered federal agency AI oversight with defined executive accountability.

United States GSA federal AI governance oversight structures accountability risk management procurement executive order government compliance AI policy

ResearchGlobal2026-04-19

Global AI Governance Needs Adaptive, Inclusive Frameworks, ITU Report 2025 Concludes

The International Telecommunication Union (ITU) published its Annual AI Governance Report 2025 on December 15, 2025, outlining principles and guidance for steering AI development responsibly at a global level. The report advocates for governance frameworks that are proactive, inclusive, and adaptive to the rapid pace of AI evolution and its cross-border impacts. While the report does not impose binding obligations, ITU publications carry weight as reference standards for national regulators, international bodies, and multinational enterprises shaping their compliance postures. For enterprise compliance teams operating across multiple jurisdictions, the report provides a consolidated view of emerging governance expectations that may inform future regulatory developments in markets where ITU guidance shapes policy. Compliance professionals should review the report's framework recommendations alongside existing regional instruments such as the EU AI Act and OECD AI Principles to identify alignment gaps or emerging obligations in their governance programs.

ITU global governance AI policy regulatory frameworks international standards compliance strategy EU AI Act OECD AI Principles risk management transparency