Topic

Governance Gaps

Governance gaps refer to the areas where an organization's AI policies, controls, or oversight mechanisms are inadequate, missing, or not effectively enforced. These gaps create risks such as uncontrolled model deployment, inadequate bias testing, poor documentation, or unclear accountability chains that can expose enterprises to regulatory violations and operational failures. Identifying and closing governance gaps is critical for establishing comprehensive AI risk management and ensuring compliance with emerging regulations like the EU AI Act and internal control frameworks.

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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