Description

Boards are increasingly accountable for decisions involving artificial intelligence, yet most directors are not technical experts. AI Briefings for Non-Technical Boards provides clear, practical explanations that enable effective oversight without requiring technical depth.

This book is designed as a set of concise primers that translate AI concepts into governance-relevant language. It explains what AI systems can and cannot do, where risks typically emerge, and how boards should interpret management briefings on AI initiatives.

Rather than focusing on implementation, the book emphasizes judgment, accountability, and oversight. It equips board members with the right questions to ask, common warning signs to recognize, and governance expectations they must meet as AI becomes embedded in business operations.

Key topics include:

Plain-language explanations of AI and machine learning Typical failure modes, limitations, and overconfidence risks Questions boards should ask before approving AI initiatives Red flags related to data quality, bias, and vendor claims Board responsibilities for AI risk, ethics, and compliance

Written for directors and senior executives, this guide supports confident, informed decision-making in an AI-driven environment.