ConceptExplainable AI / XAI
Explainable AI
Refers to making AI models output interpretable information beyond their final conclusions, such as reasoning paths and sources of evidence, in order to enhance human understanding of and trust in model decisions.
Timeline (last 90 days)
Nov 3
The FlowBatt research team introduces explainable AI analysis to diagnose and improve the conditional encoder, using XAI as a diagnostic tool during model development rather than for post-hoc explanation.
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