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

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues PDF Author: Fabrice Jotterand
Publisher: Springer Nature
ISBN: 3030741885
Category : Medical
Languages : en
Pages : 270

Book Description
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.

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

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues PDF Author: Fabrice Jotterand
Publisher: Springer Nature
ISBN: 3030741885
Category : Medical
Languages : en
Pages : 270

Book Description
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.

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

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues PDF Author: Fabrice Jotterand
Publisher:
ISBN: 9783030741891
Category :
Languages : en
Pages : 0

Book Description
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.

Clinical Neurotechnology meets Artificial Intelligence

Clinical Neurotechnology meets Artificial Intelligence PDF Author: Orsolya Friedrich
Publisher: Springer Nature
ISBN: 3030645908
Category : Medical
Languages : en
Pages : 232

Book Description
Neurotechnologies such as brain-computer interfaces (BCIs), which allow technical devices to be used with the power of thought or concentration alone, are no longer a futuristic dream or, depending on the viewpoint, a nightmare. Moreover, the combination of neurotechnologies and AI raises a host of pressing problems. Now that these technologies are about to leave the laboratory and enter the real world, these problems and implications can and should be scrutinized. This volume brings together scholars from a wide range of academic disciplines such as philosophy, law, the social sciences and neurosciences, and is unique in terms of both its focus and its methods. The latter vary considerably, and range from philosophical analysis and phenomenologically inspired descriptions to legal analysis and socio-empirical research. This diversified approach allows the book to explore the entire spectrum of philosophical, normative, legal and empirical dimensions of intelligent neurotechnologies. Philosophical and legal analyses of normative problems are complemented by a thorough empirical assessment of how BCIs and other forms of neurotechnology are being implemented, and what their measurable implications are. To take a closer look at specific neurotechnologies, a number of applications are addressed. Case studies, previously unidentified issues, and normative insights on these cases complement the rich portrait this volume provides. Clinicians, philosophers, lawyers, social scientists and engineers will greatly benefit from the collection of articles compiled in this book, which will likely become a standard reference work on the philosophy of intelligent neurotechnologies.

Artificial Intelligence and Bioethics

Artificial Intelligence and Bioethics PDF Author: Perihan Elif Ekmekci
Publisher: Springer Nature
ISBN: 3030524485
Category : Philosophy
Languages : en
Pages : 107

Book Description
This book explores major bioethical issues emerging from the development and use of artificial intelligence in medical settings. The authors start by defining the past, present and future of artificial intelligence in medical settings and then proceed to address the resulting common and specific bioethical inquiries. The book discusses bioethical inquiries in two separate sets. The first set is comprised of ontological discussions mainly focusing on personhood and being an ethical agent of an artefact. The second set discusses bioethical issues resulting from the use of artificial intelligence. It focuses particularly on the area of artificial intelligence use in medicine and health services. It addresses the main challenges by considering fundamental principles of medical ethics, including confidentiality, privacy, compassion, veracity and fidelity. Finally, the authors discuss the ethical implications of involvement of artificial intelligence agents in patient care by expanding on communication skills in a case-based approach. The book is of great interest to ethicists, medical professionals, academicians, engineers and scientists working with artificial intelligence.

Intelligent Assistive Technologies for Dementia

Intelligent Assistive Technologies for Dementia PDF Author: Fabrice Jotterand
Publisher: Oxford University Press, USA
ISBN: 0190459808
Category : Medical
Languages : en
Pages : 321

Book Description
The increasingly widespread implementation and use of intelligent assistive technologies (IATs) is reshaping dementia care. This volume provides an up-to-date overview of the current state of IATs for dementia care. The new essays collected here examine what IATs will mean for clinical practice and the ethical and regulatory challenges they will pose.

Ethics of Artificial Intelligence

Ethics of Artificial Intelligence PDF Author: S. Matthew Liao
Publisher: Oxford University Press
ISBN: 0190905050
Category : Philosophy
Languages : en
Pages : 352

Book Description
As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. This volume features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field. Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights. Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.

Ethics of Medical AI

Ethics of Medical AI PDF Author: Giovanni Rubeis
Publisher: Springer Nature
ISBN: 3031557441
Category :
Languages : en
Pages : 258

Book Description


Social Robots in Social Institutions

Social Robots in Social Institutions PDF Author: R. Hakli
Publisher: IOS Press
ISBN: 1643683756
Category : Computers
Languages : en
Pages : 800

Book Description
Social institutions emerge from social practices which coordinate activities by the explicit statement of rules, goals, and values. When artificial social actors are introduced into the physical and symbolic space of institutions, will this affect or transform institutional structures and practices, and how can social robotics as an interdisciplinary endeavor contribute to the ability of our institutions to perform their functions in society? This book presents the proceedings of Robophilosophy 2022, the 5th in the biennial Robophilosophy conference series, held in Helsinki, Finland, from 16 to 19 August 2022. The theme of this edition of the conference was Social Robots in Social Institutions, and it featured international multidisciplinary research from the humanities and social sciences concerning social robotics. The 63 papers, 41 workshop papers and 5 posters included in this book are divided into 4 sections: plenaries, sessions, workshops and posters, with the 41 papers in the ‘Sessions’ section grouped into 13 subdivisions including elderly care, healthcare, law, education and art, as well as ethics and religion. These papers explore the anticipated conceptual and practical changes which will come about from the introduction of social robotics into public and private institutions, such as public services, legal systems, social and healthcare services or educational institutions. Offering an exploration of the societal significance of social robots for the future of social institutions, the book will be of interest to both researchers in robotics and to those working in social institutions and enterprises.

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care PDF Author: David D. Luxton
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 308

Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data