Full Description
This insightful collection highlights the ethical, legal and societal issues associated with the increasing role played by artificial intelligence (AI) in medical biobanks, a key research resource in the global study of disease prevention and the improving of individual care.
Although AI has the potential to speed up health research, the book considers the numerous questions that the technology poses, from the building of trust to the prevention harm to individuals, vulnerable groups or entire populations. Examining the tension between scientific progress and the safeguarding of individual rights, and covering key issues such as accountability, data bias, transparency and liability, the book considers the legal landscape in which biobanks operate, and what layers of governance are required to oversee such an important resource in a fluid technological age.
A timely volume that brings together scholars and experts from the social sciences, ethics and law, this important book will interest researchers and professionals in Biomedicine, Law, and the broader Health Sciences.
The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution CC BY 4.0 license.
Contents
Introduction Peaking in the Blackbox of AI and Its Many Layers. Part 1: Legal Frameworks of AI. 1 The Approach of EU Law to Tackling Statistical Bias in Medicine. 2 Liability for Damages, AI, and Machine Learning for Digital Pathology as New Challenges for Biobanks. Part 2: Between Risk and Trust. 3.Unique Design—the Need for Individualized Models of Trust in Biobanking AI. 4.A Possible Risk Governance Approach for AI in Health Research and Biobanking. 5.Artificial Intelligence, Sex, and Gender: Hypes, Hopes, and Potential Risks in Biobanking. Part 3: Communicating the Unknown. 6.Fairness of an AI System in the Case of a Biobank of Images and Imaging Biomarkers. 7.Artificial Intelligence and Communication with Research Participants in the Process of Biobanking Human Biological Material. 8.Tackling AI Transparency Concerns in Biomedical Research: Bringing a Communication-Participatory Approach to the Conversation. Part 4: Embracing the Potentiality. 9.Social Acceptance of Artificial Intelligence in Biobanking. 10.Biobank-based Research Employing AI Techniques: Challenges for Research Ethics Committees. 11.Powerful AI: Between Accountability and Potentiality. Conclusion. 12.Learnings from Unboxing the Blackbox
