Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues: Advances in Neuroethics
Editat de Fabrice Jotterand, Marcello Iencaen Limba Engleză Paperback – 12 feb 2023
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.
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Specificații
ISBN-10: 3030741907
Pagini: 267
Ilustrații: XVI, 267 p. 8 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.4 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Neuroethics
Locul publicării:Cham, Switzerland
Cuprins
Notă biografică
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 Europe’s Bioethics Committee.
Textul de pe ultima copertă
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.
Caracteristici
Descriere
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.