Operationalizing Responsible AI | 1.44 MB
Title: Operationalizing Responsible AI
Author: Olivia Gambelin
Category: Business & Finance, Business Reference, Business Ethics, Management & Leadership, Decision Making & Problem Solving, Nonfiction, Computers, General Computing
Language: English | 199 Pages | ISBN: 9781398616028
Description:
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.
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