AI Safety and Preventing Harm in AI Systems (Paperback)

Rahul K. Patel

ISBN 13: 9798337369365

Published by IGI Global, Hershey, PA, 2026

About this Item

Paperback. As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798337369365

Bibliographic Details

• Title: AI Safety and Preventing Harm in AI Systems (Paperback)
• Publisher: IGI Global, Hershey, PA
• Publication Date: 2026
• Language: English
• ISBN 13: 9798337369365
• Binding: Paperback
• Condition: new

About this title

Synopsis

As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students.