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"Why Should I Trust You?"

, , and . Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, (August 2016)Available at https://arxiv.org/pdf/1602.04938.pdf.
DOI: 10.1145/2939672.2939778

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Anchors: High-Precision Model-Agnostic Explanations., , and . AAAI, page 1527-1535. AAAI Press, (2018)Sparks of Artificial General Intelligence: Early experiments with GPT-4., , , , , , , , , and 4 other author(s). CoRR, (2023)Errudite: Scalable, Reproducible, and Testable Error Analysis., , , and . ACL (1), page 747-763. Association for Computational Linguistics, (2019)Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges., , , , and . KDD, page 3511-3512. ACM, (2020)Evaluating Systemic Error Detection Methods using Synthetic Images., , , , and . CoRR, (2022)Polyjuice: Automated, General-purpose Counterfactual Generation., , , and . CoRR, (2021)AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms., , , , , and . CoRR, (2023)Model-Agnostic Explanations and Evaluation of Machine Learning.. University of Washington, USA, (2018)"Why Should I Trust You?", , and . Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, (August 2016)Available at https://arxiv.org/pdf/1602.04938.pdf.Multiobjective Pareto-Efficient Approaches for Recommender Systems., , , , , and . ACM TIST, 5 (4): 53:1-53:20 (2014)