Machine ‘unlearning’ exposes gaps in governance of clinical AI systems

Australian researchers from the Australian Institute for Machine Learning report that many health services deploying AI systems cannot reliably remove the influence of patient data once it has been used to train models. The study argues that limited capabilities for "machine unlearning" pose challenges for complying with data protection requirements and highlight broader governance weaknesses in clinical AI deployments.