Clinically Meaningful Explainability for NeuroAI: An ethical, technical, and clinical perspective

ArXi:2603.18028v1 Announce Type: cross While explainable AI (XAI) is often heralded as a means to enhance transparency and trustworthiness in closed-loop neurotechnology for psychiatric and neurological conditions, its real-world prevalence remains low. Moreover, empirical evidence suggests that the type of explanations provided by current XAI methods often fails to align with clinicians' end-user needs.