AI Ethics

Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security

A Comprehensive Guide for Business Professionals

For everyone whose organization uses AI — which is everyone.

Target Audience: Business | Management | Policy | Law | Technology Strategy

Level: Professional Graduate | MBA | Executive Education

Estimated Length: 1,200–1,600 pages | 39 Chapters | 8 Parts

"The question is not whether AI will transform society. It already has. The question is whether we will shape that transformation deliberately, fairly, and with clear eyes about who benefits and who bears the cost."

Content Areas

• Algorithmic bias and fairness metrics
• Explainable AI and transparency obligations
• Accountability structures and liability frameworks
• Data privacy, surveillance capitalism, and biometrics
• AI governance — corporate, national, and global
• Regulation: GDPR, EU AI Act, and emerging frameworks
• Societal impacts: employment, democracy, criminal justice
• Emerging challenges: generative AI, military AI, AI consciousness
• Environmental sustainability of AI systems
• AI ethics in global and emerging-market contexts

This textbook is an open educational resource designed for use in MBA programs, executive education, policy schools, law schools, and professional development contexts.