Biobank-Based Research Employing AI Techniques

Abstract

Recently, samples and data stored in biobanks have become extensively involved in research that uses large volumes of data, merges data from different sources, and applies artificial intelligence for data analysis or uses the biobank data for training AI. The introduction of new technologies often raises novel ethical issues and poses challenges to the ethical review process conducted by research ethics committees. This process aims to protect research participants’ rights, evaluate the risk/benefit ratio, and maximize public benefit. This chapter will analyze the challenges posed to the REC review process by employing AI in biobank-based research. These challenges include epistemic challenges, their ethical implications, and the challenges to implement research ethics principles for biobank-based research employing AI techniques. Some recommendations to help RECs face these new challenges include strengthening REC capacities through training in AI ethics, involving external experts, and building a dialogue with researchers.

Ähnliche Arbeiten