Why do explanations fail? A typology and discussion on failures in XAI

Documenti analoghi

• Understanding Prediction Discrepancies in Machine Learning Classifiers
  di: Renard, Xavier, et al.
  Pubblicazione: (2021)
• The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
  di: Swamy, Vinitra, et al.
  Pubblicazione: (2023)
• SAKE: Steering Activations for Knowledge Editing
  di: Scialanga, Marco, et al.
  Pubblicazione: (2025)
• Metric assessment protocol in the context of answer fluctuation on MCQ tasks
  di: Goliakova, Ekaterina, et al.
  Pubblicazione: (2025)
• Interactive dense pixel visualizations for time series and model attribution explanations
  di: Schlegel, Udo, et al.
  Pubblicazione: (2024)