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Board Governance11 min read

AI Governance for Board Directors: A Practical Primer

AI creates new liability categories that traditional governance frameworks don't cover.

By Richard Ewing·

New Liability Categories

Algorithmic bias liability: AI systems that discriminate create legal and reputational risk. Data privacy liability: AI models trained on personal data face GDPR/CCPA scrutiny. Intellectual property liability: AI-generated content and code raise copyright questions. Safety liability: AI systems in safety-critical applications create product liability exposure.

Board oversight framework: require AI risk assessments for all customer-facing AI features, demand regular bias audits, ensure data governance compliance, and maintain AI incident response procedures.

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Published Work

This article expands on ideas from my published work in CIO.com, Built In, Mind the Product, and HackerNoon. View published articles →

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Richard Ewing

The Product Economist — Quantifying engineering economics for technology leaders, PE firms, and boards.