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Big Data, Health Law, and Bioethics
When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.
The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare
This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.
Reproductive Donation
This book combines empirical research with commentary on ethics, policy and legislation, raising provocative questions about reproductive donation and surrogacy.
Reprogen-Ethics and the Future of Gender
'Reprogen-Ethics and the Future of Gender' brings together three tightly related topics, which have so far been dealt separately in bioethics: assisted reproduction, enhancing and gender. Part one in this book targets present policies and legislature of assisted reproduction. Part two focuses on current views of the ethics of PGD and enhancing. Part three tackles the future of gender. Part four deals with artificial wombs and ectogenesis. The aim of this book is to provide a joint perspective in order to get the big picture. Contributors include Matti Häyry, Tuija Takala, Søren Holm, David Heyd, Daniel Callahan, Harriet Bradley, Ekaterina Balabanova and others. Some chapters in this book will significantly contribute to the current discussion of the topics at stake; other chapters will start a discussion on issues that have not yet been discussed. 'Reprogen-Ethics and the Future of Gender' will certainly appeal to readers who are interested in any of the intersecting topics of assisted reproduction, genetic enhancing and gender; bioethicists, sociologists, genetic counsellors, gynaecologists, legislators, and students of the relevant disciplines.
Governing Privacy in Knowledge Commons
Explores the complex relationships between privacy, governance, and the production and sharing of knowledge. This title is also available as Open Access on Cambridge Core.
The Ethics of Biomedical Big Data
This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.
Ethics, Governance, and Policies in Artificial Intelligence
This book offers a synthesis of investigations on the ethics, governance and policies affecting the design, development and deployment of artificial intelligence (AI). Each chapter can be read independently, but the overall structure of the book provides a complementary and detailed understanding of some of the most pressing issues brought about by AI and digital innovation. Given its modular nature, it is a text suitable for readers who wish to gain a reliable orientation about the ethics of AI and for experts who wish to know more about specific areas of the current debate.
Human Germline Modification and the Right to Science
A survey of the regulation of human germline genome modification in eighteen countries and the emerging international standards.
Ethics and governance of artificial intelligence for health
This WHO Guidance document discusses ethical and governance issues as they arise in the use of artificial intelligence (AI) for health. It contains a set of principles, recommendations, and checklists for selected end-users. The target audience is Ministries of Health, AI developers, health care workers, and industry.
