Topic

AI Agents

AI agents are software systems that can perceive their environment, make autonomous decisions, and take actions to achieve specified goals with minimal human intervention. In enterprise AI governance, agents present distinct compliance and control challenges because their autonomous nature can create accountability gaps, unpredictable outputs, and potential liability if decisions cause harm. Organizations must establish governance frameworks around agent design, monitoring, and override capabilities to ensure they remain aligned with business policies and regulatory requirements.

2 items

ResearchChina2026-05-31

China's CAC, NDRC, and MIIT Establish Unified Governance Framework for AI Agent Deployment

On May 8, 2026, China's Cyberspace Administration of China, National Development and Reform Commission, and Ministry of Industry and Information Technology jointly issued implementation opinions establishing a regulated framework for AI agent deployment. The policy addresses infrastructure, safety governance, industry-sector deployment, and ecosystem development for autonomous AI systems capable of perception, decision-making, interaction, and task execution. The joint issuance signals a shift from China's prior piecemeal AI regulations toward a coordinated, multi-agency governance architecture specifically targeting agentic AI.

China AI regulation AI agents CAC agentic AI governance multi-agency compliance

Corporate PolicyGlobal2025-05-30

Four Corporate AI Governance Gaps Partnership on AI Says Organizations Must Close Now

The Partnership on AI published a position piece on May 30, 2025, arguing that corporate AI governance programs are materially incomplete without formal controls spanning supply chain responsibility, end-user terms and conditions, AI assurance ecosystems, and real-time monitoring of autonomous AI agents. The piece targets enterprise compliance and risk functions and connects each governance gap to documented incident patterns and operational accountability failures. It does not carry binding regulatory force but represents practitioner-level guidance from a recognized multi-stakeholder body whose membership includes major technology deployers and civil society organizations.

AI agents vendor risk assurance supply chain corporate governance