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.