Extension: Human-Centric Explainable AI in Healthcare: A Review of Methods, Evaluation Metrics, and Ethical Governance (Preprint)
Human-Centric Explainable AI in Healthcare: A Review of Methods, Evaluation Metrics, and Ethical Governance (Preprint) presents the following source proposition: However, opaque “black-box” models pose challenges for clinician trust, safety, accountability, and regulatory compliance. This proposition is pertinent to Kaal's source-bound claim that WDAGs allow new regulatory and ethical standards to be integrated into existing AI systems without overhauling the entire model architecture, which is what makes rapid legal adaptation feasible in sectors such as public safety and healthcare. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
complianceai-and-agentshistorical-responsescholarly-literaturecrossref