Information Technology Law Medical Law Others

Artificial Intelligence in Biobanking: Ethical, Legal and Societal Challenges

Edited by Michaela Th. Mayrhofer · Santa Slokenberga · Signe Mežinska
Routledge September 2025

Specifications

ISBN-13
9781032619927
Publisher
Routledge
Publication
September 2025
Format
Hardback
Jurisdiction
U.K. ? Countri(es) for reference only

Also available as

Details

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.

Table of Contents

Introduction Peaking in the Blackbox of AI and Its Many Layers
Michaela Th. Mayrhofer, Santa Slokenberga, Signe Mežinska

Part 1: Legal Frameworks of AI
1.
The Approach of EU Law to Tackling Statistical Bias in Medicine
Katharina Ó Cathaoir
2.
Liability for Damages, AI, and Machine Learning for Digital Pathology as New Challenges for Biobanks
Dorota Krekora-Zając

Part 2: Between Risk and Trust
3.
Unique Design—the Need for Individualized Models of Trust in Biobanking AI
Anna Clareborn
4.
A Possible Risk Governance Approach for AI in Health Research and Biobanking
Ilaria Colussi
5 Artificial Intelligence, Sex, and Gender: Hypes, Hopes, and Potential Risks in Biobanking
Kaya Akyüz, Mónica Cano Abadía, Melanie Goisauf

Part 3: Communicating the Unknown
6.
Fairness of an AI System in the Case of a Biobank of Images and Imaging Biomarkers
Valentina Colcelli
7.
Artificial Intelligence and Communication with Research Participants in the Process of Biobanking Human Biological Material
Jarosław Sak, Jakub Pawlikowski
8.
Tackling AI Transparency Concerns in Biomedical Research: Bringing a Communication-Participatory Approach to the Conversation
Leslie Salgado Arzuaga

Part 4: Embracing the Potentiality
9.
Social Acceptance of Artificial Intelligence in Biobanking
Elodie Caboux, Patrick Courtney, Io Hong Cheong, Zisis Kozlakidis
10.
Biobank-based Research Employing AI Techniques: Challenges for Research Ethics Committees
Signe Mežinska
11.
Powerful AI: Between Accountability and Potentiality
Michaela Th. Mayrhofer

Conclusion
12.
Learnings from Unboxing the Blackbox
Michaela Th. Mayrhofer, Santa Slokenberga, Signe Mežinska
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