Topic

Regulatory Frameworks

Regulatory frameworks are the formal rules, standards, and requirements established by government bodies and agencies to govern AI development, deployment, and use. In enterprise AI governance, these frameworks are critical because they define legal compliance obligations, accountability structures, and acceptable practices across jurisdictions like the EU AI Act, FDA regulations, and emerging national AI laws. Understanding and adhering to applicable regulatory frameworks helps organizations avoid legal penalties, maintain operational legitimacy, and ensure their AI systems meet mandatory safety and transparency standards.

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ResearchGlobal2026-05-06

Three Structural Gaps Where AI Undermines Corporate Governance, Seattle University Law Review Finds

A peer-reviewed article published in the Seattle University Law Review examines how AI and emerging technologies are creating structural mismatches with existing corporate governance and regulatory frameworks. The article identifies three phenomena: the blurring of firm boundaries through externally provided AI services, strategic resource access without ownership, and the dual role of online platforms as both market facilitators and market participants. The authors argue that current governance frameworks are poorly equipped to address these shifts.

corporate governance third-party AI risk platform regulation AI governance supply chain accountability accountability risk management United States regulatory frameworks financial services

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