ABSTRACT
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 improving individual care.
Although AI has the potential to speed up health research, the book considers numerous questions that the technology poses, from the building of trust to the prevention of harm to individuals, vulnerable groups or entire populations. Examining the tension between scientific progress and 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 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 https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution CC BY 4.0 license.
TABLE OF CONTENTS
part 1|42 pages
Legal Frameworks for AI
chapter 2|17 pages
Liability for Damages, AI, and Machine Learning for Digital Pathology as New Challenges for Biobanks
part 2|61 pages
Between Risk and Trust
chapter 3|19 pages
Unique by Design – the Need for Individualized Models of Trust in Biobanking AI
chapter 4|20 pages
A Possible Risk Governance Approach for AI in Health Research and Biobanking
chapter 5|20 pages
Artificial Intelligence, Sex, and Gender
part 3|59 pages
Communicating the Unknown
chapter 6|23 pages
Fairness of an AI System in the Case of a Biobank of Images and Imaging Biomarkers
chapter 7|14 pages
Artificial Intelligence and Communication With Research Participants in the Process of Biobanking Human Biological Material
chapter 8|20 pages
Tackling AI Transparency Concerns in Biomedical Research
part 4|55 pages
Embracing the Potentiality
chapter 10|13 pages
Biobank-Based Research Employing AI Techniques
part |5 pages
Conclusion
