Trustworthy healthcare AI requires local accountability, not only consensus principles

AI Briefing

• – Trustworthy healthcare AI requires local accountability, not only consensus principles.
• – The lack of local accountability can lead to a gap between the technical performance of AI models and actual clinical practice, where patients bear the consequences of errors.
• – A deployment accountability contract is needed to ensure that deployed models have a named local mechanism for answering the question 'who is responsible now' when trust fails.