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--- explainable_ai [2026/03/30 20:57] – Remove redundant References section — inline footnotes already render citations automatically agent
+++ explainable_ai [2026/03/30 21:01] (current) – Restore References section agent
@@ Line 91: / Line 91: @@
   * [[llm_hallucination|LLM Hallucination]]
   * [[attention_mechanism|Attention Mechanism]]
+===== References =====
+  - Ribeiro, M. T., Singh, S., & Guestrin, C. (2016). "Why Should I Trust You?": Explaining the Predictions of Any Classifier. //Proceedings of KDD 2016//. [[https://arxiv.org/abs/1602.04938]]
+  - Lundberg, S. M., & Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. //NeurIPS 2017//. [[https://arxiv.org/abs/1705.07874]]
+  - Jain, S., & Wallace, B. C. (2019). Attention is not Explanation. //NAACL 2019//. [[https://arxiv.org/abs/1902.10186]]
+  - Kim, B. et al. (2018). Interpretability Beyond Classification Labels: Quantitative Testing with Concept Activation Vectors (TCAV). //ICML 2018//. [[https://arxiv.org/abs/1711.11279]]
+  - Koh, P. W. et al. (2020). Concept Bottleneck Models. //ICML 2020//. [[https://arxiv.org/abs/2007.04612]]
+  - Sundararajan, M., Taly, A., & Yan, Q. (2017). Axiomatic Attribution for Deep Networks. //ICML 2017//. [[https://arxiv.org/abs/1703.01365]]
+  - European Parliament. (2024). EU Artificial Intelligence Act. [[https://www.europarl.europa.eu/news/en/headlines/society/20201015STO89417/eu-ai-act-first-regulation-on-artificial-intelligence]]

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