Artificial Intelligence (AI) in healthcare refers primarily to the application of machine learning to improve various aspects of healthcare and medical practices, e.g. diagnostics or remote consultation. AI has the potential to enhance accuracy, speed, and efficiency of medical treatment by automating standard or repetitive tasks, as well as to help maintain a better organized and efficient doctor-patient relationship. Research Ethics Committees (RECs), traditionally focusing on protecting participants’ well-being, face a number of challenges when reviewing research involving AI. This policy brief highlights three key issues and provides recommendations for risk mitigation, specifically targeting ethics experts and REC members.