Trustworthy AI
Ethical Frameworks for Responsible Innovation
Virginia Dignum author Andreas Theodorou author Juan Carlos Nieves author Andrea Aler Tubella author Marçal Mora-Cantallops author
Format:Hardback
Publisher:Cambridge University Press
Publishing:31st Aug '26
£40.00
This title is due to be published on 31st August, and will be despatched as soon as possible.

A clear, interdisciplinary guide connecting AI ethics, governance, and practice for teaching and applying trustworthy AI worldwide.
This textbook introduces trustworthy AI for students, educators, and professionals across disciplines. It explains ethics, governance, accountability, and societal impact in clear language, connecting principles to real-world AI use. Ideal for courses in computer science, policy, law, business, and social sciences.Artificial intelligence is reshaping decisions that affect people, institutions, and societies. Understanding how to design, deploy, and govern AI systems that can be trusted is now essential in many disciplines. This book offers a clear, concise introduction to trustworthy AI, treating AI not just as a technical artifact but as a socio-technical system embedded in human contexts. Developed from an internationally applicable educational framework, the book is designed for teaching and learning in computer science, data science, law, policy, business, and related fields. It equips students and professionals with the concepts and judgment needed to engage critically and responsibly with AI in practice. Combining ethics, governance, and practical insight, the book explains key concepts including transparency, fairness, accountability, human oversight, and stakeholder participation. An interdisciplinary approach makes the material accessible to both technical and non-technical audiences, with realistic scenarios and reflection questions so readers connect principles to real-world AI applications.
'In a field evolving as fast as AI, this book stands out. It pairs clear ethical foundations with practical guidance. Its emphasis on responsibility and real-world tools make it an essential companion for anyone building AI systems.' Toby Walsh, AI Institute and School of Computer Science and Engineering, UNSW Sydney
ISBN: 9781009492867
Dimensions: unknown
Weight: unknown
154 pages