Part 1 AUDITING ARTIFICIAL INTELLIGENCE
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Chapter 1 Artificial Intelligence: The Basics
Chapter 2 AI Algorithms
Chapter 3: Key Metrics for Generative AI
Chapter 4 AI KPIs
Part 2 AI GOVERNANCE AND OVERSIGHT
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Chapter 5 AI Governance and Oversight
Chapter 6 Auditing AI Accountability
Chapter 7 Auditing The Trustworthiness of AI
Chapter 8 AI Systems Decision-Making: Auditing Fairness
Chapter 9 Auditing The Reliability of GEN-AI Tools
Chapter 10 Auditing the Ethics of AI
Chapter 11 Auditing the Process of Prompt Engineering
Part 3 AI RISK MANAGEMENT
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Chapter 12 AI Risk Management
Chapter 13 Auditing AI Bias and Deception Risk
Chapter 14 Risk Assessment: Auditing AI Software vs Traditional Software
Part 4 AI REGULATORY AND COMPLIANCE
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Chapter 15 Auditing The Status Of AI Compliance
Part 5 AUDITING AI SYSTEMS
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Chapter 16 Auditing AI System Documentation and Reporting
Chapter 17 Reinforcement Learning Models and Reward Reports
Chapter 18 Code Analysis
Chapter 19 Change Management and AI Systems
![Auditing Artificial Intelligence: A Handbook for Audit, Risk, and Security Professionals [Hardcover]](/itemImage/2/0/4/3/2_7108644.jpg "Auditing Artificial Intelligence: A Handbook for Audit, Risk, and Security Professionals [Hardcover]")