Safer Agentic AI

Principles and Responsible Practices
1. Auflage 2026
ISBN: 978-1-3986-2543-3
Verlag: Kogan Page

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm

Ensure the most-advanced AI systems are implemented in a responsible way that furthers innovation and prevents risks with this actionable guide.

Safer Agentic AI provides senior professionals with the skills to ensure the safe and beneficial use of advanced AI systems. Agentic and advanced AI systems represent a tremendous opportunity for business to improve their processes and increase productivity. However, these systems come with critical risks that organizations will need to manage. This book will show how to harness the power of these systems in a responsible and safe way.

Covering how to steer the future of AI responsibly and avoid potential pitfalls, this book will explain how organizations can use agentic AI in ways that safeguard their values and future. It draws on technical insights and ethical considerations to offer practical governance frameworks that can work in any organization. Written by two experts in AI ethics and safety, this book will cover key areas such as goal alignment, value alignment, transparency, governance and the challenges of maintaining human control over increasingly autonomous systems.

Autoren/Hrsg.

Watson, Nell

Hessami, Ali

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance

Inhaltsverzeichnis

Chapter - 01: The Age of Agentic AI Chapter - 02: Goal Alignment in Agentic AI Systems Chapter - 03: Value Alignment and Embedding Ethics Chapter - 04: Transparency and Interpretability Chapter - 05: Governance and Control Mechanisms Chapter - 06: Security and Robustness Chapter - 07: Frontier Challenges Chapter - 08: Long-Term Risks and Considerations Chapter - 09: Practical Implementation of Agentic AI Safety Chapter - 10: Principles for a Positive Future with Agentic AI Chapter - 11: Glossary

Über Autor(innen)

Hessami, Ali
Ali Hessami is a systems engineer specializing in risk analysis, assessment and safety. He is a leading figure in AI ethics standardization efforts as Vice Chair of the IEEE AI Ethics Certification Programme, Chair of the IEEE 7000 AI Ethics Standard and Subgroup Chair at the IEC Cybersecurity Standard Committee. He is also Innovation Director at Vega Systems Ltd where he works on building advanced conformity assurance systems. He is a Chartered Engineer and Chair of the IEEE UK & Ireland Section. He lives in London, UK.

Watson, Nell
Nell Watson is a researcher, writer, speaker and applied tech ethicist. She advises leading organizations on their machine learning strategies, specializing in AI research and ethical advocacy. She is the President of the European Responsible AI Office and Chair of the IEEE Standards Association Agentic AI Expert Focus Group. She has worked on the IEEE 7001 AI Ethics Standards, the ECPAIS Transparency Certification, the Certified Ethical Emerging Technologist exam and completed a Talos Fellowship. She is the author of Taming the Machine published by Kogan Page and is based in Belfast, UK.

Nell Watson is a researcher and applied tech ethicist. She advises organizations on their machine learning strategies, specializing in AI research and ethical advocacy. She is President of the European Responsible AI Office and the author of Taming the Machine published by Kogan Page. She lives in Belfast, UK.

Ali Hessami is a systems engineer specializing in risk analysis, assessment and safety. He is Vice Chair of the IEEE AI Ethics Certification Programme and Chair of the IEEE 7000 AI Ethics Standard. He lives in London, UK.