Practical Governance for Enterprise AI
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The National Association of Corporate Directors has published governance guidance titled 'Tuning Corporate Governance for AI Adoption,' calling on boards to adapt oversight mechanisms to address AI-specific risks including hallucinations, data privacy concerns, and algorithmic bias. The guidance references AI Incident Database figures showing a 26 percent increase in AI incidents from 2022 to 2023, with 2024 data suggesting a further rise exceeding 32 percent. It is directed at US corporate boards and positions AI risk oversight as a core board-level responsibility.
Kiteworks published a research piece on May 30, 2025, framing the central AI governance challenge as an architecture and visibility problem rather than a policy problem. The analysis identifies shadow AI deployments, embedded client-side scripts, third-party AI widgets, and fragmented controls as the primary blind spots undermining enterprise AI oversight. It recommends continuous inventory, Content Security Policy and script allowlists, third-party AI monitoring programs, joint incident response planning, and treating AI widgets as data processors under applicable privacy frameworks.
