Brains and Machines: Towards a unified Ethics of AI and Neuroscience
- 1st Edition, Volume 7 - May 22, 2024
- Editors: Marcello Ienca, Georg Starke
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 8 6 9 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 8 7 0 - 4
Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technolog… Read more
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Request a sales quoteBrains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel perspectives on two complementary lines of discourse. The volume provides scientific background by outlining the state of the art of applying AI in the field of neuroscience and discussing instances where findings and debates from neuroscience provide cues and inspiration to the study of AI. Based on this background, the book then addresses conceptual frameworks, identifies ethical challenges at the intersection of neuroscience and AI, and highlights challenges and opportunities of finding common ground in interdisciplinary settings.
- Provides complementary perspectives from international experts on neuroscience, AI and ethics
- Searches for common ground in debates that have in the past often moved in parallel
- Provides an introduction into current ethical debates at the intersection of two fast-moving key technologies
A academic audience working on the ethics of AI and neuroscience but is also of interest to anyone who would like to get an introduction into these scientific debates
- Cover image
- Title page
- Table of Contents
- Series Page
- Copyright
- Contributors
- About the Editors
- Introduction: Navigating ethics at the intersection of AI and neuroscience
- References
- Section 1 AI for Neuroscience
- Chapter One: AI for brain-computer interfaces
- 1 Introduction
- 2 Basic types and applications of brain-computer interfaces
- 3 AI-enhanced brain-computer interfaces
- 4 Scope and scalability of AI-enhanced BCIs
- 5 Perspectives and ethical implications
- 6 Conclusions
- Acknowledgments
- References
- Chapter Two: Computational psychiatry and AI - High hopes: heralded heights or hollow hype
- Abstract
- 1 Introduction
- 2 General AI-related ethical concerns
- 3 Ethical concerns specific to computational psychiatry
- 4 Conclusion
- References
- Chapter Three: Computational psychiatry and digital phenotyping: Ethical and neurorights implications
- Abstract
- 1 Introduction
- 2 Computational psychiatry and its ethical challenges
- 3 The case of digital phenotyping: From health applications to the consumer domain
- 4 Potential implications for neurorights
- 5 Final remarks: Towards the integration of different data levels
- References
- Section 2 Neuroscience for AI
- Chapter Four: Neuroscience for AI: The importance of theory of mind
- Abstract
- 1 Introduction
- 2 Hot and cold cognition
- 3 Hot and cold cognition in theory of mind
- 4 Hot and cold cognition and theory of mind in AI
- 5 Limitations and ethical concerns to theory of mind in AI
- 6 Conclusions
- Acknowledgements
- References
- Chapter Five: Sense of agency in human-human and human-computer interactions
- Abstract
- 1 Introduction
- 2 The sense of agency within the cognitive (neuro)science of action
- 3 Interacting with humans affects the SoA
- 4 Interacting with artificial devices and AI affects the SoA
- 5 Conclusions
- References
- Chapter Six: Anthropomorphism in social AIs: Some challenges
- Abstract
- 1 Introduction
- 2 Anthropomorphism
- 3 Social chatbots
- 4 Two strategies
- 5 Pragmatic strategy: Some objections
- 6 Conclusion
- References
- Chapter Seven: (Mis)decoding affect in the face and in the brain
- Abstract
- 1 QWERTY keyboards and affective science
- 2 Decoding emotion from faces
- 3 Decoding emotion from (neurovascular proxies for) brain data
- 4 Summary and open problems
- Acknowledgments
- References
- Section 3 Finding common ground
- Chapter Eight: Algorithmic regulation: A compatible framework for AI and DTC neurotechnologies
- Abstract
- 1 Introduction
- 2 Direct to consumer neurotechnologies
- 3 Algorithmic regulation
- 4 Applying algorithmic regulation to neurotechnology
- 5 Conclusion
- References
- Further reading
- Chapter Nine: The extended mind thesis and the cognitive artifacts approach: A comparison
- Abstract
- Abbreviations
- 1 Introduction
- 2 The extended cognition and the cognitive artifacts approach
- 3 How to extend cognition, cognitive artifacts, and AI
- 4 Conclusion: Compatibility and differences between EXT and CA and some ethical implications
- References
- Chapter Ten: The ethical implications of indicators of consciousness in artificial systems
- Abstract
- 1 Introduction
- 2 The prism of consciousness
- 3 Indicators of consciousness and their application to AI
- 4 Ethical implications of indicators of consciousness in AI
- 5 Conclusion
- Acknowledgments
- References
- Chapter Eleven: Moral dimensions of synthetic biological intelligence: Unravelling the ethics of neural integration
- Abstract
- 1 Introduction
- 2 Moral standing-related ethical dimensions of SBI systems
- 3 Non moral standing-related ethical dimensions of SBI systems
- 4 Conclusion
- References
- Chapter Twelve: What the embedded ethics approach brings to AI-enhanced neuroscience
- Abstract
- 1 Introduction
- 2 Embedded ethics
- 3 Applying embedded ethics to AI-enhanced neuroscience
- 4 Conclusion
- References
- Chapter Thirteen: From being embedded in practice: Working situated and interdisciplinary in the neurosciences and neurocomputation as ethicists and social scientists
- Abstract
- 1 Introduction
- 2 Situated knowledges and interdisciplinary research
- 3 Embedded ethics and social sciences in practice—active integration in frontier neuroscience and neurocomputation
- 4 Investigating neuroethics and ethics of AI within NEUROTECH: Data perception, security, and representativeness
- 5 The need for situatedness of ethics and social science research in complex network structures
- 6 Conclusion
- Acknowledgments
- References
- Chapter Fourteen: Beyond participation: Towards a community-led approach to value alignment of AI in medicine
- Abstract
- 1 Introduction
- 2 Conceptualizing participation and partaking
- 3 Methods of participatory research
- 4 Current paradigms for value alignment: Ethics-by-design and embedded ethics
- 5 Towards community-led value alignment in medical AI development
- 6 Limits of participatory methods in medical research and AI development
- 7 Conclusions
- References
- Epilogue: Harmonizing the ethical symbiosis of brains and machines
- References
- No. of pages: 300
- Language: English
- Edition: 1
- Volume: 7
- Published: May 22, 2024
- Imprint: Academic Press
- Hardback ISBN: 9780443158698
- eBook ISBN: 9780443158704
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