AI COMPLIANCE AND GOVERNANCE FOR TECHNOLOGY LEADERS

Stop Treating AI Governance as a Legal Problem. It's an Engineering Problem.
For technology leaders, the era of voluntary "Responsible AI" is over. With the EU AI Act now in force and ISO/IEC 42001 becoming a strict procurement baseline, organizations face fines of up to 35 million for non-compliance. If your AI system's output affects users in the EU, you are in scope, regardless of where your headquarters is located.
AI Compliance and Governance for Technology is the definitive, premium desk reference for CTOs, VPs of Engineering, and AI/ML leads. This isn't a dense legal theory book; it is a highly actionable engineering manual designed to turn regulatory text into auditable, production-ready systems. Keep this comprehensive paperback on your desk to bridge the gap between compliance mandates and technical execution.
What You Will Master

• The Global Patchwork: Navigate the exact enforcement timelines for the EU AI Act, ISO/IEC 42001, and emerging US state laws through 2027.
• Auditable Architecture: Build continuous risk management, data governance, and technical traceability directly into your deployment pipelines.
• Documentation by Design: Generate compliant Model Cards, System Cards, and Datasheets as automated byproducts of your ML workflow.
• Human Oversight Engineering: Implement risk-calibrated Human-in-the-Loop (HITL) and Human-on-the-Loop systems that avoid operational rubber-stamping.
• Vendor Risk Management: Master the specific contractual and technical controls required when utilizing third-party foundation models and LLM APIs
• Secure Your Enterprise's Future: A startup with a brilliant model but no documented risk assessment will lose enterprise deals to a competitor with a clean ISO 42001 certificate. Retrofitting governance onto an already-deployed system takes months; building it into your architecture from day one takes weeks.
  Don't leave your product launches or compliance audits to chance. Add this essential technical manual to your professional library today and build AI systems that actually deserve the trust placed in them.