Governing AI Systems
Published by Self-published · Tech
A guide to AI governance frameworks, covering risk management, compliance, ethics, and organizational oversight of AI systems.
Who this book is for
AI safety and governance leaders, engineering teams implementing guardrails and compliance controls, CISOs and risk officers, legal and compliance teams, and technical leaders responsible for AI deployments that must meet regulatory requirements.
Table of contents
- Why AI Governance Matters Now
- Risk Assessment for AI Systems
- The EU AI Act: Practical Compliance
- NIST AI RMF and ISO 42001
- Guardrails Architecture
- Prompt Injection Defense
- Agent Safety
- Bias Detection and Mitigation
- Model Governance
- Data Governance for AI
- Safety Evaluation and Testing
- Building a Governance Program
Excerpt
AI governance is no longer a future concern. The EU AI Act's prohibitions on unacceptable-risk AI systems are already enforceable. High-risk AI system obligations take effect in August 2026. NIST's AI Risk Management Framework has become the de facto standard for voluntary compliance in the United States. ISO/IEC 42001 provides the first international standard for AI management systems. This chapter establishes why governance is an operational necessity, the cost of operating without it, and how to assess an organization's governance maturity.
