Topic

Governance Frameworks

Governance frameworks are structured systems of policies, procedures, and controls that organizations implement to manage AI development, deployment, and monitoring in a compliant manner. They typically include decision-making hierarchies, risk assessment methodologies, accountability structures, and documentation requirements that align AI activities with regulatory obligations and business objectives. Effective governance frameworks are critical for enterprise AI governance because they provide the foundation for consistent oversight, reduce compliance violations, and enable organizations to demonstrate due diligence to regulators and stakeholders.

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ResearchGlobal2025-05-30

Nearly 90% of Companies Lack a Named AI Governance Framework, Survey Finds; Complaint Mechanisms Present at Just 2.3%

The Corporate AI Governance Report 2025, published by AICDI Global Insights and surfaced through the AICDI Global Insights data initiative, finds that 87% of companies have not publicly committed to a named AI governance framework, only 13% maintain human oversight policies, and a mere 2.3% have a dedicated complaints mechanism for AI-related issues. The findings are drawn from a global sample and cover board oversight, escalation channels, workforce complaint handling, and formal compliance program adoption. The report highlights structural gaps that leave organizations exposed as AI-specific regulatory requirements continue to expand across jurisdictions.

governance gaps human oversight board oversight complaints mechanism governance frameworks