Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research

Area of Science:

• Medical Research
• Artificial Intelligence Ethics
• Regulatory Science

Background:

• The rapid integration of artificial intelligence (AI) into medical research presents novel ethical and regulatory hurdles.
• Ethics Review Committees (ERCs) are central to overseeing clinical trials and ethical assessments involving AI.

Purpose of the Study:

• To identify and categorize the primary challenges faced by ERCs in regulating medical AI.
• To explore the limitations of ERCs, researchers, and regulatory bodies in the context of advancing AI technologies.

Main Methods:

• Systematic review of challenges encountered by Ethics Review Committees in medical AI research.
• Categorization of 23 identified challenges into thematic sections.

Main Results:

• Key challenges include AI system complexity, data re-identification risks, and multi-subject data impacts.
• Algorithmic bias, data ownership, AI commercialization, and fragmented regulatory frameworks pose significant ethical concerns.
• Varied regional regulations complicate AI research oversight.

Conclusions:

• There is an urgent need for revised ethical guidelines and regulatory frameworks specifically for AI in medical research.
• Interdisciplinary collaboration, ethics education, continuous review, and enhanced stakeholder engagement are crucial.
• Adapting ethical oversight mechanisms is essential to foster innovation while maintaining ethical standards in medical AI.