Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it

Researchers at the University of Bristol are working to enhance the safety of medical AI systems by borrowing insights from drug approval processes. Their framework, called "Learning Ensemble," identifies three key areas for evaluation: system limits, fairness across patient groups, and clinical fit. The goal is to catch models that may function technically but could still be dangerously incorrect in clinical settings. By applying standards similar to those used in drug assessments, the researchers aim to mitigate risks associated with AI in medicine.