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Data-Centric Explanations
Project Publications
Understanding and Mitigating the Negative Consequences of Training Dataset Explanations
Ariful Islam Anik and Andrea Bunt. 2023. Understanding and Mitigating the Negative Consequences of Training Dataset Explanations. In Proceedings of the ACM CHI 2023 Workshop on Human-centered Explainable AI (HCXAI), April 23–28, 2023, Hamburg, Germany.
Data-Centric Explanations: Explaining Training Data of ML Systems to Promote Transparency
Ariful Islam Anik and Andrea Bunt. 2021. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. In CHI Conference on Human Factors in Computing Systems (CHI’21), May 08–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3411764.3445736
Investigating Explanations that Target Training Data
Ariful Islam Anik and Andrea Bunt. 2021. Investigating Explanations that Target Training Data. In Proceedings of the ACM IUI workshop on Transparency and Explanations in Smart Systems (TExSS). Texas, USA, 7 pages.
Data-Centric Explanations: Explaining Training Data of ML Systems to Promote Transparency
Ariful Islam Anik. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. MSc Thesis (2020). University of Manitoba, Canada.
