Published
May 30, 2025Page count
192 pagesISBN
978-1529249248Dimensions
234 x 156 mmImprint
Bristol University PressPublished
May 30, 2025Page count
192 pagesISBN
978-1529249255Dimensions
234 x 156 mmImprint
Bristol University PressPublished
May 30, 2025Page count
192 pagesISBN
978-1529249262Dimensions
234 x 156 mmImprint
Bristol University Press
The Ethics of AI
Available open access digitally under CC-BY-NC-ND licence.
In a world where artificial intelligence increasingly influences the fabric of our daily lives, this accessible book offers a critical examination of AI and its deep entanglement with power structures. Rather than focusing on doomsday scenarios, it emphasizes how AI impacts our everyday interactions and social norms in ways that fundamentally reshape society. By examining the different forms of exploitation and manipulation in the relationship between humans and AI, the book advocates for collective responsibility, better regulation and systemic change.
This is a resounding manifesto for rethinking AI ethics through a power-aware lens. With detailed analysis of real-world examples and technological insights, it is an essential reading for anyone invested in the future of AI policy, scholarly critique and societal integration.
Rainer Mühlhoff is Professor of Ethics and Critical Theories of Artificial Intelligence at the Institute of Cognitive Science and Institute of Philosophy at the University of Osnabrück.
Introduction: What Does It Mean to ‘Do’ a Power-Aware Ethics of AI? – A Note to Readers
Part I: The Power of AI
Chapter One: What AI Are We Talking About?
Chapter Two: Human-Aided AI
Chapter Three: Digital Counter-Enlightenment and the Power of Design
Chapter Four: Subjectivity and Power in the Ethics of AI
Part II: The Power of Prediction
Chapter Five: AI Systems as Prediction Machines
Chapter Six: Predictive Privacy
Chapter Seven: The Culture of Prediction Ethics and Epistemology
Part III: The Power of Control
Chapter Eight: AI Cybernetics
Chapter Nine: Opacity in Machine Learning and Predictive Analytics
Chapter Ten: Bias in Cybernetic AI Systems
Chapter Eleven: Collective Responsibility in the Ethics of AI
Conclusion: Manifesto for a Power-Aware Ethics of AI
