AI Ethics in Organizational Practice: Responsibility, Human Judgement and Accountability in Algorithmic Work

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 For larger orders, or orders where you require an invoice, contact us admin@ethicspress.com 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. Reviews This title is currently being reviewed. Please check back for further updates in due course.