Current XAI methods provide technical explanations that are hard for clinicians to interpret, hindering trustworthy AI in healthcare. Perception-Aligned AI introduces Visualized Learning to improve uncertainty communication in clinical decision-making. This shift reflects growing pressure to make AI explanations more accessible and intuitive for non-technical stakeholders, marking a transition from technical to human-centered AI interpretability.
“arXiv:2205.04599v2 Announce Type: replace-cross Abstract: Explainable Artificial Intelligence (XAI) is essential for trustworthy AI in healthcare, yet many existing methods rely on technical explanations that are difficult for clinicians an…”
Read the source →STATUS
ACTIVE
CATEGORY
Models
EVIDENCE
Not yet assessed
ENTITY
eXplainable Artificial Intelligence (XAI), Visualized Learning, arXiv:2205.04599v2
DECISION
Automated · no editorial override
LAST OBSERVED
Jul 25, 2026