This volume offers a comprehensive interdisciplinary collection of essays from leading experts across various fields, addressing the current and future challenges stemming from the implementation of Artificial Intelligence (AI) in brain and mental health. With the potential to revolutionize healthcare and enhance biomedical research, AI’s role in mental health is both promising and complex. However, the ethical, regulatory, and social impacts of AI have yet to be systematically and comprehensively assessed.
The book is thoughtfully structured into three main sections, each focusing on different types of AI technologies:
- Part 1: Big Data and Automated Learning: Scientific and Ethical Considerations – This section delves into the critical issues arising from the use of AI software, including machine learning, particularly in clinical and therapeutic contexts.
- Part 2: AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges – Here, philosophical, ethical, and regulatory dilemmas are examined, extending beyond clinical applications to a broader technological landscape.
- Part 3: AI in Neuroscience and Neurotechnology: Ethical, Social, and Policy Issues – Contributions in this section explore the implications of AI integration in neuroscience and neurotechnology, highlighting regulatory gaps that could impede responsible AI development in brain and mental health.
With its comprehensive approach and multidisciplinary perspective, this book represents a significant milestone in public understanding of the ethics surrounding AI in brain and mental health. It serves as an invaluable resource for those engaged in future investigations in this rapidly evolving field.
This essential read will appeal to a wide audience, including professionals in neuroethics, robotics, computer science, neuroscience, psychiatry, and
Authors:
Fabrice Jotterand (Editor)
Edition:
1st ed. 2021
Publication Date:
February 12, 2022
From the book:
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