Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities.
Ilana Nguyen, Harini Suresh, Thema Monroe-White, Evan Shieh.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘26).
Reimagining Data Work: Participatory Annotation Workshops as Feminist Practice.
Yujia Gao, Isadora Araujo Cruxên, Helena Suárez Val, Alessandra Jungs de Almeida, Catherine D’Ignazio, Harini Suresh.
CHI Conference on Human Factors in Computing Systems (CHI ’26).
[paper]
How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed Framework.
Zainab Iftikhar, Amy Xiao, Sean Ransom, Jeff Huang, Harini Suresh.
AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘25).
[paper]
“Ownership, Not Just Happy Talk”: Co-Designing a Participatory Large Language Model for Journalism.
Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy, Harini Suresh.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘25).
[paper]
Participation in the age of foundation models.
Harini Suresh✧, Emily Tseng✧, Meg Young✧, Mary Gray, Emma Pierson, Karen Levy.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘24).
[paper]
Saliency Cards: A Framework to Characterize and Compare Saliency Methods.
Angie Boggust✧, Harini Suresh✧, Hendrik Strobelt, John Guttag, Arvind Satyanarayan.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘23).
[paper]
Kaleidoscope: Semantically-grounded, context-specific ML model evaluation.
Harini Suresh, Divya Shanmugam, Annie Bryan, Tiffany Chen, Alexander D’Amour, John V. Guttag, Arvind Satyanarayan.
CHI Conference on Human Factors in Computing Systems (CHI ’23).
[paper]
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
Susanne Gaube, Harini Suresh, Martina Raue, Eva Lermer, Timo K. Koch, Matthias F. C. Hudecek, Alun D. Ackery, Samir C. Grover, Joseph F. Coughlin, Dieter Frey, Felipe C. Kitamura, Marzyeh Ghassemi, Errol Colak.
Scientific Reports, (2023) 13:1383.
[paper]
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection.
★ Best student paper award ★
Harini Suresh, Rajiv Movva, Amelia Lee Dogan, Rahul Bhargava, Isadora Cruxên, Ángeles Martinez Cuba, Giulia Taurino, Wonyoung So, and Catherine D’Ignazio.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘22).
[paper]
Tech Worker Organizing for Power and Accountability.
William Boag, Harini Suresh, Bianca Lepe, Catherine D’Ignazio.
ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘22).
[paper]
Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence.
Catherine D’Ignazio, Isadora Cruxên, Helena Suárez Val, Angeles Martinez Cuba, Mariel García-Montes, Silvana Fumega, Harini Suresh, Wonyoung So.
Patterns (2022).
[paper]
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs.
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan.
ACM Conference on Intelligent User Interfaces (IUI ‘22).
[paper][talk]
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle.
Harini Suresh and John Guttag
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21).
[paper] [SERC case study version][talk]
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs.
CHI Conference on Human Factors in Computing Systems (CHI ’21).
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
[paper] [talk] [interactive vis]
Do as AI say: susceptibility in deployment of clinical decision-aids.
Susanne Gaube✧, Harini Suresh✧, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi (✧ = equal contribution)
npj Digital Medicine, 2021.
[paper]
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making.
Harini Suresh, Natalie Lao, Ilaria Liccardi.
ACM Conference on Web Science (WebSci 2020).
[paper] [talk]
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU.
Harini Suresh✧, Jen Gong✧, John Guttag (✧ = equal contribution)
Conference on Knowledge Discovery and Data Mining (KDD 2018).
[paper]
Racial Disparities and Mistrust in End-of-Life Care.
Willie Boag, Harini Suresh, Leo Celi, Peter Szolovits and Marzyeh Ghassemi.
Machine Learning for Healthcare Conference (MLHC 2018).
[paper]
Clinical Event Prediction and Understanding using Neural Networks.
Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi.
Machine Learning for Healthcare Conference (MLHC 2017).
[paper]
The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults.
Michelle L. Ding, Harini Suresh.
Conference on Human Factors in Computing Systems Sociotechnical AI Governance Workshop (STAIG@CHI ‘25).
[paper]
Representational Harms in LLM-Generated Narratives Against Nationalities Located in the Global South.
Ilana Nguyen, Harini Suresh, Evan Shieh.
Conference on Human Factors in Computing Systems Human-centered Evaluation and Auditing of Language Models Workshop (HEAL@CHI ‘25).
[paper]
Chatbot Evaluation Is (Sometimes) Ill-Posed: Contextualization Errors in the Human-Interface-Model Pipeline.
Aspen Hopkins✧, Angie Boggust✧, Harini Suresh✧.
Conference on Human Factors in Computing Systems Human-centered Evaluation and Auditing of Language Models Workshop (HEAL@CHI ‘25).
[paper]
Co-liberation through Data & Sociotechnical Systems? Reflections, Tensions, and Possibilities.
Harini Suresh✧, Nikko Stevens✧, Amelia Lee Doğan.
A Toolbox of Feminist Wonder Workshop, ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW ’23).
[paper]
Feminicide & Machine Learning: Detecting Gender-based Violence to Strengthen Civil Sector Activism.
★ New Horizons award for most inspiring paper ★
Catherine D’Ignazio, Helena Suarez Val, Silvana Fumega, Harini Suresh, Isadora Cruxen, Wonyoung So, Maria De Los Angeles Martinez and Mariel Garcia-Montes
Mechanism Design for Social Good Workshop (MD4SG 2020).
[paper] [talk]
Modelling Mistrust in End-of-Life Care.
Willie Boag, Harini Suresh, Leo Celi, Peter Szolovits and Marzyeh Ghassemi
Fairness, Accountability, and Transparency in Machine Learning Workshop, ICML 2018.
[paper]
Disparities in the Performance of Natural Language Processing Tools.
Harini Suresh✧, Divya Shanmugam✧, John Guttag (✧ = equal contribution)
Women in Machine Learning (WiML) Workshop, NIPS 2017.
[poster]
The Use of Autoencoders for Discovering Patient Phenotypes.
Harini Suresh, Peter Szolovits, Marzyeh Ghassemi.
Machine Learning for Healthcare Workshop, NeurIPS 2016.
[paper]
Feature Representations for Predicting ICU Mortality
SuperUROP thesis, Computational Biophysics Group, MIT RLE
Harini Suresh
[paper]