Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance

Published 13 August 2026

Author(s): Luis C. Pinheiro, Amanda C. Langston, Marie Orre, Joerg Zinserling, Konstantina Boumaki, Bastian V. H. Hornung, Siobhan O'Sullivan, Gabriel Westman, Karl Broich, & Peter Arlett

Abstract

Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine development and evaluation. Regulators can also act as catalysts for regulatory science research. To inform these efforts, a European-wide survey was conducted to solicit stakeholder perspectives on the priority areas for regulatory science research related to the use of artificial intelligence in the medicine lifecycle. Twenty-eight regulatory science research questions were developed covering seven thematic domains: (1) research integrity and intellectual property; (2) accuracy and reliability of AI tools; (3) data governance, confidentiality, and consent; (4) regulation and oversight; (5) ethics, fairness, and bias prevention; (6) resources and support for AI use; and (7) impact on jobs and skills. Within each domain, stakeholders ranked four research challenges. A total of 273 responses were collected from regulators, pharmaceutical industry professionals, patients and consumers, academics, and healthcare professionals.