AI Governance: Secure, privacy-preserving, ethical systems presents a structured playbook for safely harnessing the potential of Generative AI, including security and privacy, bias, ethics, cost management, and regulation.
Engin Bozdag and Stefano Bennati
Artificial intelligence is reshaping industries, policies, and public life—but with this power comes new challenges around ethics, accountability, and regulation. AI Governance provides a comprehensive and practical guide to designing, implementing, and maintaining responsible AI systems that align with organizational goals and societal expectations.
In this book, you’ll explore how to:
-
Establish governance frameworks that ensure AI systems are transparent, fair, and compliant
-
Integrate risk management and ethical considerations into the AI development lifecycle
-
Navigate evolving AI regulations, standards, and oversight practices
-
Build cross-functional teams to address bias, accountability, and safety concerns
-
Design monitoring systems that balance innovation with control
Written by experts in technology policy and AI operations, AI Governance bridges the gap between theory and practice—helping leaders, developers, and policymakers alike apply sound governance principles to real-world AI initiatives. Through practical examples, it shows how to translate values like fairness, reliability, and transparency into measurable, auditable processes that scale.
- Full details: https://www.manning.com/books/ai-governance
Don’t forget you can get 45% off with your Devtalk discount! Just use the coupon code “devtalk.com” at checkout 