Operationalizing Responsible AI

Häftad, Engelska, 2026

326 kr

Kommande

Beskrivning

How can we build and govern trustworthy AI? Operationalizing Responsible AI brings together leading scholars and practitioners to address this urgent question. Each chapter explores a key dimension of responsibility - fairness, explainability, psychological safety, accountability, consent, transparency, auditability, and contextualization - defining what it means, why it matters, and how it can be achieved in practice. Through interdisciplinary perspectives and real-world examples, the book bridges ethical principles, legal frameworks such as the EU AI Act, and technical approaches including explainable AI and audit methodologies. Written for researchers, policymakers, and professionals, the book offers both conceptual clarity and practical guidance for advancing Responsible AI that is fair, transparent, and aligned with human values.

Produktinformation

Utgivningsdatum:2026-08-31
Format:Häftad
Språk:Engelska
Antal sidor:186
Förlag:Cambridge University Press
ISBN:9781009625197

Utforska kategorier

Affärsetik inom Ekonomi och Ledarskap
IT-rätt och kommunikationsrätt inom Juridik
Artificiell intelligens inom Data och IT

Mer om författaren

Daniele Quercia is Director of Responsible AI at Nokia Bell Labs Cambridge, United Kingdom and Professor at Politecnico di Torino, Italy. Named one of Fortune's Data All-Stars, he has spoken at TED and published widely on urban computing and Responsible AI after research roles at Yahoo Labs, Cambridge, and MIT. Marios Constantinides is a Senior Research Scientist at CYENS Centre of Excellence, Cyprus and Honorary Lecturer at University College London, United Kingdom. His research on Human-Computer Interaction and Responsible AI has received international recognition, with publications in top venues and press coverage.

Recensioner i media

'Operationalizing Responsible AI is one of the first books to offer both comprehensive coverage and an accessible entry point into the most important questions surrounding what it truly means to build responsible AI. As these challenges grow more urgent by the day, this book is an essential guide for anyone serious about developing or shaping AI technologies that could bring benefits and minimize harms to people and society.' Q. Vera Liao, University of Michigan

Innehållsförteckning

Preface; 1. Can AI be Fair? Yi-Chieh Lee, Jingshu Li, Renwen Zhang and Nan Liu; 2. Can AI be Explainable? Simone Stumpf; 3. Can AI be Psychologically Safe? Uthman Ali; 4. Can AI be Accountable? Andrew L. Kun; 5. Can AI be Consentful? Giada Pistilli and Bruna Selin Trevelin; 6. Can AI be Transparent? Fabian Linde, Dalia Ali and Orestis Papakyriakopoulos; 7. Can AI be Auditable? Himanshu Verma, Kirtan Shyamal Padh and Eva Thelisson; 8. Can AI be Contextualized? Glen Berman and James Smithies; Index.