Publications

Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar, Vabuk Pahari, Abhijnan Chakraborty, Krishna P. Gummadi, Ingmar Weber, Abhisek Dash (2026). Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms. ICWSM 2027.

Ayan Majumdar, Shounak Paul, Pushpdeep Singh, Ines Abdelaziz, Sayeh Jarollahi, Seungeon Lee, Krishna P. Gummadi, Ingmar Weber, Abhisek Dash (2026). Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization. arXiv.

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Lena Marie Budde, Ayan Majumdar, Richard Uth, Markus Langer, Isabel Valera (2026). From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse. ACM FAccT 2026.

Ayan Majumdar, Feihao Chen, Jinghui Li, Xiaozhen Wang (2026). Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark Study. IAAI @ LREC 2026.

Ayan Majumdar, Deborah D. Kanubala, Kavya Gupta, Isabel Valera (2025). A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination. AAAI 2026.

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Ayan Majumdar, Isabel Valera (2024). CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. ACM FAccT 2024.

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Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller (2023). Do Invariances in Deep Neural Networks Align with Human Perception?. AAAI 2023.

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Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera (2022). Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. ACM FAccT 2022.

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Ayan Majumdar (2021). On Computing Counterfactuals for Causal Fairness. Master Thesis.