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Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues 2021 ed. [Kietas viršelis]

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  • Formatas: Hardback, 267 pages, aukštis x plotis: 235x155 mm, weight: 651 g, 8 Illustrations, color; XVI, 267 p. 8 illus. in color., 1 Hardback
  • Serija: Advances in Neuroethics
  • Išleidimo metai: 12-Feb-2022
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030741877
  • ISBN-13: 9783030741877
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 267 pages, aukštis x plotis: 235x155 mm, weight: 651 g, 8 Illustrations, color; XVI, 267 p. 8 illus. in color., 1 Hardback
  • Serija: Advances in Neuroethics
  • Išleidimo metai: 12-Feb-2022
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030741877
  • ISBN-13: 9783030741877
Kitos knygos pagal šią temą:
This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way.





The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application.





The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
1 Introduction
1(10)
Fabrice Jotterand
Marcello Ienca
Part I Big Data and Automated Learning: Scientific and Ethical Considerations
2 Big Data in Medical AI: How Larger Data Sets Lead to Robust, Automated Learning for Medicine
11(16)
Ting Xiao
Mark V. Albert
3 Automatic Diagnosis and Screening of Personality Dimensions and Mental Health Problems
27(14)
Yair Neuman
4 Intelligent Virtual Agents in Behavioral and Mental Healthcare: Ethics and Application Considerations
41(16)
David D. Luxton
Eva Hudlicka
5 Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Prevention
57(16)
Julia Amann
6 Respect for Persons and Artificial Intelligence in the Age of Big Data
73(16)
Ryan Spellecy
Emily E. Anderson
Part II AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges
7 Social Robots and Dark Patterns: Where Does Persuasion End and Deception Begin?
89(22)
Naveen Shamsudhin
Fabrice Jotterand
8 Minding the AI: Ethical Challenges and Practice for AI Mental Health Care Tools
111(16)
Nicole Martinez-Martin
9 Digital Behavioral Technology, Deep Learning, and Self-Optimization
127(20)
Karola Kreitmair
10 Mental Health Chatbots, Moral Bio-Enhancement, and the Paradox of Weak Moral AI
147(12)
Jie Yin
11 The Al-Powered Digital Health Sector: Ethical and Regulatory Considerations When Developing Digital Mental Health Tools for the Older Adult Demographic
159(18)
Camille Nebeker
Emma M. Parrish
Sarah Graham
12 AI Extenders and the Ethics of Mental Health
177(28)
Karina Void
Jose Hernandez-Orallo
Part III AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues
13 The Importance of Expiry Dates: Evaluating the Societal Impact of AI-Based Neuroimaging
205(12)
Pim Haselager
Giulio Mecacci
14 Does Closed-Loop DBS for Treatment of Psychiatric Disorders Raise Salient Authenticity Concerns?
217(16)
Ishan Dasgupta
Andreas Schonau
Timothy Brown
Eran Klein
Sara Goering
15 Matter Over Mind: Liability Considerations Surrounding Artificial Intelligence in Neuroscience
233(14)
Gary Marchant
Lucille Nalbach Touraas
16 A Common Ground for Human Rights, AI, and Brain and Mental Health
247(14)
Monika Sziron
Part IV Epilogue
17 Brain and Mental Health in the Era of Artificial Intelligence
261(4)
Marcello Ienca
Index 265
Dr. Fabrice Jotterand, PhD, MA, is Professor of Bioethics and Medical Humanities and Director of the Graduate Program in Bioethics at the Center for Bioethics and Medical Humanities, Medical College of Wisconsin. He holds a second appointment as Senior Researcher at the Institute for Biomedical Ethics at the University of Basel, Switzerland. He is also the resident philosopher at the MCW Kern Institute where he directs the Philosophies of Medical Education Transformation Laboratory (P-METaL). His work examines the importance of character formation and practical wisdom in the moral development of future physicians as well as how the philosophy of medicine contributes to medical professionalism.His experience as an educator has been fostered by more than fifteen years of teaching courses in neuroethics, bioethics, and medical humanities. Dr. Jotterands scholarship and research interests focus on issues including neuroethics, the use of neurotechnologies in psychiatry, neurotechnologies and human identity, the philosophy of medicine and medical professionalism, and bioethics and moral/political philosophy. He has published more than 60 articles and book chapters as well as reviews in leading academic journals and has published five books. He is currently completing a book manuscript entitled The Unfit Brain and the Limits of Moral Bioenhancement that focuses on the ethical and social implications of the potential use of neurotechnologies in psychiatry to alter brain functions to address so-called moral pathologies (antisocial, aggressive, and harmful behavior; psychopathic traits).









Dr. Marcello Ienca is a Principal Investigator at the College of Humanities (CDH) at EPFL, Switzerland, where he leads the Intelligent Systems Ethics Group. His research focuses on the ethical, legal and social implications of neurotechnology and artificial intelligence, with particular focus on big data trends in neuroscience and biomedicine, neurorights, human-computer interaction, social robotics, digital health and cognitive assistance for people with intellectual disabilities. He is interested in comparative approaches to the study of human and artificial cognition. Ienca is the PI of multi-disciplinary federal and cross-national research projects and has received several awards for social responsibility in science and technology such as the Prize Pato de Carvalho (Portugal), the Vontobel Award for Ageing Research (Switzerland), and the Paul Schotsmans Prize from the European Association of Centres of Medical Ethics (EACME). He has authored one monograph, one edited volume (Intelligent Assistive Technologies for Dementia, Oxford University Press, 2019), +60 scientific articles in peer-review journals, several book chapters and science communication essays. His research was featured in academic journals such as Nature Medicine, Nature Biotechnology, Nature Machine Intelligence, Neuron, the Lancet Digital Health, the American Journal of Bioethics and media outlets such as Nature, The New Yorker, The Guardian, The Times, Die Welt, The Independent, the Financial Times and others. Ienca is serving as appointed member or expert advisor in a number of national and international governance bodies including the Steering Group on Neurotechnology and Society of the Organisation for Economic Co-operation & Development (OECD) and the Council of Europes Bioethics Committee.