Title: AI Ethics in Organizational Practice
Subtitle: Responsibility, Human Judgement and Accountability in Algorithmic Work
Subject Classification:  Artificial Intelligence, Business and Management, Corporate Governance  
BIC Classification: UYA, JFFN, KJS
BISAC Classification: BUS008000, TEC052000, PHI005000
Binding: Hardback, eBook
Planned publication date: Dec 2026
ISBN (Hardback): 978-1-80866-213-3
ISBN (eBook): 978-1-80866-214-0

e-books available for libraries from   Proquest  and   EBSCO   with non-institutional availability from  GooglePlay

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Description

People often express AI ethics through principles like fairness, transparency, privacy, accountability, and human oversight. Yet organisations still struggle to convert those principles into decisions, work practices and remedies. This book explains why the central problem is a responsibility translation gap. It develops an AI Ethics in Practice Framework that links ethical commitments to mandates, decision rights, situated judgement, protected voice, accountable action and organisational learning. Drawing on AI ethics, organisation studies, professional practice, quality management and current governance instruments, the book analyses fairness, explainability, surveillance, automation, responsibility gaps, leadership, dissent and generative AI. Its distinctive contribution is to show how responsible AI depends not only on compliant systems but on institutional conditions that enable people to understand, challenge, change and, where necessary, stop AI-mediated work. Fifteen practical tables translate the argument into review questions and safeguards for scholars, students, leaders and professionals.

Biography

Author(s):  Anette Oxenswärdh, PhD, is Associate Professor Emerita in Quality Sciences at Uppsala University. Her research and teaching span organisational responsibility, educational leadership, quality management, sustainability and AI-mediated change. She has nearly four decades of experience in education and higher education.

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