Research Handbook on Health, AI and the Law
Produktdetaljer
Biographical note
Edited by Barry Solaiman, Assistant Dean, Assistant Professor of Law, College of Law, Hamad Bin Khalifa University, Qatar and Adjunct Assistant Professor of Medical Ethics in Clinical Medicine, Weill Cornell Medicine, Qatar and I. Glenn Cohen, Deputy Dean, James A. Attwood and Leslie Williams Professor of Law, Harvard Law School, Harvard University and Faculty Director, Petrie-Flom Center for Health Law Policy, Biotechnology and Bioethics, Harvard Law School, Harvard University, US<i>‘From drug discovery to personalised medicine, or merely easing the administrative load of overstretched medical professionals, artificial intelligence can make healthcare more effective and efficient. Yet the ethical and legal perils of “automated medicine” are easily seen. This Research Handbook surveys the diversity of practices, ethical frameworks, and emergent laws in this space. It will be of interest to practitioners and scholars, as well as anyone seeking to understand how AI can reshape a profession and its norms.’</i>
- Simon Chesterman, National University of Singapore, Singapore,
<i>'Solaiman and Cohen have assembled a comprehensive yet nuanced examination of how Artificial Intelligence is disrupting healthcare and medicine. This Research Handbook examines the key legal issues facing medical AI from patient consent and secular ethics to medical device regulation and algorithmic accountability. Contributions from eminent legal scholars across the globe result in a volume that is as cutting edge as it is a joy to read. This invaluable research and teaching resource effortlessly weaves together legal, ethical, political, and technical analysis. This is now the field’s essential reference point for academics, lawyers, policymakers, and healthcare professionals wanting to understand medical AI and the law.' </i>
- Sandra Wachter, University of Oxford, UK,
Bringing together a diverse range of carefully selected legal experts, the Research Handbook critically assesses the different uses of AI in healthcare and its promise to provide greater accuracy for healthcare professionals and patients by diagnosing diseases and detecting illness earlier and helping hospitals run more efficiently. It also highlights a series of legal and ethical challenges AI raises relating to bias, privacy, data security, medical liability, informed consent and intellectual property. AI governance is rigorously examined in countries across the globe spanning Asia, Europe and the US while different responses from international organisations towards AI in healthcare are also evaluated.
This Research Handbook is a key resource for scholars and law students and for those interested in current and developing legal paradigms. Its legal and practical dimensions will also be beneficial to lawyers practising in health law and internet and technology law, policymakers and medical professionals.