Topic

AI Risk Governance

AI Risk Governance refers to the frameworks, policies, and processes organizations establish to identify, assess, and mitigate risks associated with artificial intelligence systems throughout their lifecycle. This includes managing technical risks like model bias and adversarial attacks, as well as organizational risks such as regulatory non-compliance, reputational damage, and liability exposure. Effective AI Risk Governance is essential for enterprises to maintain accountability, protect stakeholders, and ensure their AI systems operate safely and responsibly while meeting legal and ethical standards.

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Corporate PolicyUS2026-06-27

NACD Tells Boards to Recalibrate AI Risk Appetite and Assign Clear Governance Ownership in 2025 Outlook

The National Association of Corporate Directors has published board-level guidance urging directors to refine existing oversight mechanisms for AI adoption, designate accountable leaders, and integrate data governance as a strategic priority. The guidance addresses how AI reshapes corporate risk profiles, including exposure to hallucinations and algorithmic bias. It applies broadly to US-listed companies and any organization where the board has formal oversight responsibilities for technology risk.

Board Oversight AI Risk Governance Data Governance Director Accountability Risk Appetite