Operationalizing responsible AI edited by Daniele Quercia, Marios Constantinides

Format:

Book

Contributor:

Quercia, Daniele, editor.

Constantinides, Marios, editor.

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

artificial intelligence.

Medical Subjects:

Artificial Intelligence.

Physical Description:

1 online resource

Place of Publication:

Cambridge : Cambridge University Press, 2026

Summary:

"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"-- Cambridge Core

Contents:

Can AI be fair? / Yi-Chieh Lee, Jingshu Li, Renwen Zhang, and Nan Liu

Can AI be explainable? / Simone Stumpf

Can AI be psychologically safe? / Uthman Ali

Can AI be accountable? / Andrew L. Kun

Can AI be consentful? / Giada Pistilli and Bruna Selin Trevelin

Can AI be transparent? / Fabian Linde, Dalia Ali, and Orestis Papakyriakopoulos

Can AI be auditable? / Himanshu Verma, Kirtan Shyamal Padh, and Eva Thelisson

Can AI be contextualized? / Glen Berman and James Smithies

Notes:

Includes bibliographical references

Online resource; title from PDF title page (Cambridge Core, viewed July 30, 2026)

Other Format:

Print version: Operationalizing responsible AI

ISBN:

9781009625180

1009625187

9781009625166

1009625160

OCLC:

1573775968

Publisher Number:

CIPO000404173

CIPO000409182

Access Restriction:

Restricted for use by site license