Clinical Neurotechnology meets Artificial Intelligence


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.




Brains and Machines: Towards a unified Ethics of AI and Neuroscience


Book Description

Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel perspectives on two complementary lines of discourse. The volume provides scientific background by outlining the state of the art of applying AI in the field of neuroscience and discussing instances where findings and debates from neuroscience provide cues and inspiration to the study of AI. Based on this background, the book then addresses conceptual frameworks, identifies ethical challenges at the intersection of neuroscience and AI, and highlights challenges and opportunities of finding common ground in interdisciplinary settings. Provides complementary perspectives from international experts on neuroscience, AI and ethics Searches for common ground in debates that have in the past often moved in parallel Provides an introduction into current ethical debates at the intersection of two fast-moving key technologies




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


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.




The AI Wave in Defence Innovation


Book Description

An international and interdisciplinary perspective on the adoption and governance of artificial intelligence (AI) and machine learning (ML) in defence and military innovation by major and middle powers. Advancements in AI and ML pose pressing questions related to evolving conceptions of military power, compliance with international humanitarian law, peace promotion, strategic stability, arms control, future operational environments, and technology races. To navigate the breadth of this AI and international security agenda, the contributors to this book include experts on AI, technology governance, and defence innovation to assess military AI strategic perspectives from major and middle AI powers alike. These include views of how the United States, China, Japan, South Korea, the European Union, and Russia see AI/ML as a technology with the potential to reshape military affairs and power structures in the broader international system. This diverse set of views aims to help elucidate key similarities and differences between AI powers in the evolving strategic context. A valuable read for scholars of security studies, public policy, and STS studies with an interest in the impacts of AI and ML technologies.




Policy, Identity, and Neurotechnology


Book Description

In this volume the authors explore the landscape of thought on the ethical and policy implications of Brain Computer Interface (BCI) technology. BCI technology is a promising and rapidly advancing research area. Recent developments in the technology, based on animal and human studies, allow for the restoration and potential augmentation of faculties of perception and physical movement, and even the transfer of information between brains. Brain activity can be interpreted through both invasive and non-invasive monitoring devices, allowing for novel, therapeutic solutions for individuals with disabilities and for other non-medical applications. However, a number of ethical and policy issues have been identified from the use of BCI technology, with the potential for near-future advancements in the technology to raise unique new ethical and policy questions that society has never grappled with before. The volume has three parts: 1) Past, Present and Future of BCI technology, 2) Ethical and Philosophical Issues and 3) Legal and Policy Implications. The rich and detailed picture of the field of BCI ethics with contributors from various fields and backgrounds, from academia and from the commercial sphere may serve as an introductory textbook into the neuroethics of BCI, or as a resource for neuroscientists, engineers, and medical practitioners to gain additional insight into the ethical and policy implications of their work.




The EU Artificial Intelligence Act


Book Description

AI in combination with other innovative technologies promises to bring unprecedented opportunities to all aspects of life. These technologies, however, hold great dangers, especially for the manipulation of the human mind, which have given rise to serious ethical concerns. Apart from some sectoral regulatory efforts to address these concerns, no regulatory framework for AI has yet been adopted though in 2021 the European Commission of the EU published a draft Act on Artificial Intelligence and UNESCO followed suit with a Recommendation on the Ethics of Artificial Intelligence. The book contextualises the future regulation of AI, specifically addressing the regulatory challenges relating to the planned prohibition of the use of AI systems that deploy subliminal techniques. The convergence of AI with various related technologies, such as brain–computer interfaces, functional magnetic resonance imaging, robotics and big data, already allows for "mind reading" or "dream hacking" through brain spyware, as well as other practices that intrude on cognition and the right to freedom of thought. Future innovations will enhance the possibilities for manipulating thoughts and behaviour, and they threaten to cause serious harm to individuals as well as to society as a whole. The issue of subliminal perception and the ability to deceive and manipulate the mind below the threshold of awareness causes severe difficulties for law and democracy and raises important questions for the future of society. This book shows how cognitive, technological, and legal questions are intrinsically interwoven, and aims to stimulate an urgently needed transdisciplinary and transnational debate between students, academics, practitioners, policymakers and citizens interested not only in the law but also in disciplines including computer science, neuroscience, sociology, political science, marketing and psychology.




Personalized Medicine Meets Artificial Intelligence


Book Description

The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the “metaverse”. The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.




Coercive Brain-Reading in Criminal Justice


Book Description

This book examines the legal boundaries of non-consensual brain-reading in criminal justice. Focusing on human rights such as privacy and freedom of thought and expression, the book informs lawyers and ethicists debating the legal implications of emerging neurotechnology and advises policymakers and judges in specifying the law to neurotechnology.




What Is Public Trust in the Health System?


Book Description

EPDF and EPUB available Open Access under CC-BY-ND licence. This book explores the concept of public trust in health systems. In the context of recent events, including public response to interventions to tackle the COVID-19 pandemic, vaccination uptake and the use of health data and digital health, this important book uses empirical evidence to address why public trust is vital to a well-functioning health system. In doing so, it provides a comprehensive contemporary explanation of public trust, how it affects health systems and how it can be nurtured and maintained as an integral component of health system governance.




Machine Learning in Clinical Neuroscience


Book Description

This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.