Safer Agentic AI

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

Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 667 g

Implement advanced and agentic AI with confidence, control and strategic foresight.

Safer Agentic AI is a guide for senior technology and business professionals who must deploy the most advanced AI systems in ways that accelerate innovation while preventing critical business, ethical and societal risks. Written by AI ethics and safety experts Nell Watson and Ali Hessami, this book shows senior professionals how to harness agentic and autonomous AI responsibly, ensuring systems remain aligned with organizational values, strategic objectives and human oversight.

Combining technical insight with practical governance, it equips leaders to assess capability, anticipate emerging risks and design controls that enable safe adoption at scale.

You'll learn how to:

- Align agentic AI systems with business goals, values and long-term strategy

- Strengthen transparency, governance and oversight across increasingly autonomous workflows

- Maintain meaningful human control over high-impact systems and decisions

- Apply practical frameworks for risk management, value alignment and ethical safeguards

With clear explanations and actionable tools, Safer Agentic AI helps senior leaders deploy advanced AI that enhances productivity, protects organizational integrity and positions the business to innovate confidently and responsibly.

Themes include: AI governance, agentic AI, risk management, value alignment, transparency, ethical AI, organizational resilience, advanced AI

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
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

Chapter - 00: Introduction; Section - ONE: The dawn of agency; Chapter - 01: AI overview; Section - 02: The age of agentic AI; Section - TWO: The core alignment problem; Section - 03: Goal alignment of agentic AI systems; Chapter - 04: Value alignment and embedding ethics; Chapter - 05: Deceptive and power-seeking AI; Chapter - 06: Utility convergence; Section - THREE: The governance and safety toolkit; Chapter - 07: Safety fundamentals; Chapter - 08: Security and guardrails; Chapter - 09: Agentic conflict; Chapter - 10: Transparency and interpretability; Chapter - 11: AI governance; Chapter - 12: Weighted capability governance; Section - FOUR: The human and societal interface; Chapter - 13: Working with agentic AI; Chapter - 14: Psychosecurity; Chapter - 15: Who goes there?; Chapter - 16: Self-watching machines; Chapter - 17: Sustainability and resource stewardship; Section - FIVE: The uncharted frontier; Chapter - 18: Disruptive waves; Chapter - 19: Frontier concerns; Chapter - 20: Superintelligence strategy; Chapter - 21: Ten principles for a positive future; Chapter - 22: Further resources; Chapter - 23: 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.