Licensing questions when AI provides "professional advice"
This opinion piece examines whether artificial intelligence systems that provide individualized guidance in areas traditionally governed by professional licensing should be subject to comparable accountability requirements. It argues that as AI systems move beyond general information to evaluate individual circumstances and recommend actions in areas such as law, medicine, and financial services, the distinction between information and professional advice becomes increasingly difficult to maintain. The article highlights the accountability mechanisms associated with professional licensure, including education, ethical standards, continuing education, disciplinary processes, and duties to clients or patients, and contrasts them with the limited obligations currently applicable to AI systems. Rather than licensing AI algorithms themselves, the author proposes placing responsibility on the organizations that develop and deploy AI for professional purposes, including requirements for accuracy testing, disclosure of limitations, human oversight, conflict identification, recordkeeping, and liability for foreseeable harm. For professional regulatory organizations, the piece raises broader questions about how existing regulatory frameworks may need to address AI-enabled professional services while preserving accountability when technology performs functions traditionally associated with licensed judgment.