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Suresh, Harini, Tseng, Emily, Young, Meg, Gray, Mary, Pierson, Emma, Levy, Karen.
"Participation in the age of foundation models." The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024.
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Suresh, Harini, Shanmugam, Divya, Chen, Tiffany, Bryan, Annie G, D'Amour, Alexander, Guttag, John, Satyanarayan, Arvind.
"Kaleidoscope: Semantically-grounded, context-specific ML model evaluation." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, pp. 1-13.
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D'Ignazio, Catherine, Cruxên, Isadora, Suárez Val, Helena, Martinez Cuba, Angeles, García-Montes, Mariel, Fumega, Silvana, Suresh, Harini, So, Wonyoung.
"Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence." Patterns, vol. 3, no. 7, 2022, pp. 100530.
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Suresh, Harini, Lewis, Kathleen M, Guttag, John, Satyanarayan, Arvind.
"Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs." 27th International Conference on Intelligent User Interfaces, 2022.
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Suresh, Harini, Movva, Rajiv, Dogan, Amelia Lee, Bhargava, Rahul, Cruxen, Isadora, Cuba, Angeles Martinez, Taurino, Guilia, So, Wonyoung, D'Ignazio, Catherine.
"Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection." 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022.
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Suresh, Harini, Guttag, John.
"A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle." Equity and Access in Algorithms, Mechanisms, and Optimization, 2021.
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Suresh, Harini, Gomez, Steven R., Nam, Kevin K., Satyanarayan, Arvind.
"Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs." Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021.
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Gaube, Susanne, Suresh, Harini, Raue, Martina, Merritt, Alexander, Berkowitz, Seth J., Lermer, Eva, Coughlin, Joseph F., Guttag, John V., Colak, Errol, Ghassemi, Marzyeh.
"Do as AI say: susceptibility in deployment of clinical decision-aids." npj Digital Medicine, vol. 4, no. 1, 2021.
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