Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues

Introduction

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.

Structure and Sections

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.

Part 3: 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.

Audience and Relevance

The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.