| 2026 | WWW | Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN. | Qinyi Liu, Mohammad Khalil, Naman Goel |
| 2025 | IJCAI | Fairness-Aware Interactive Target Variable Definition. | Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter |
| 2024 | ACL | Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. | Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel |
| 2024 | WWW | SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. | Vidminas Vizgirda, Rui Zhao, Naman Goel |
| 2023 | CHI | 'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. | Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt |
| 2023 | ICLR | Human-Guided Fair Classification for Natural Language Processing. | Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev |
| 2022 | AIES | Data-Centric Factors in Algorithmic Fairness. | Nianyun Li, Naman Goel, Elliott Ash |
| 2021 | AAAI | The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. | Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma |
| 2020 | IJCAI | Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. | Naman Goel, Aris Filos-Ratsikas, Boi Faltings |
| 2020 | IJCAI | Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. | Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings |
| 2019 | AAAI | Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. | Naman Goel, Boi Faltings |
| 2019 | AIES | Crowdsourcing with Fairness, Diversity and Budget Constraints. | Naman Goel, Boi Faltings |
| 2019 | UAI | Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. | Naman Goel, Boi Faltings |
| 2018 | AAAI | Non-Discriminatory Machine Learning Through Convex Fairness Criteria. | Naman Goel, Mohammad Yaghini, Boi Faltings |
| 2018 | AIES | Non-Discriminatory Machine Learning through Convex Fairness Criteria. | Naman Goel, Mohammad Yaghini, Boi Faltings |
| 2015 | ICDE | AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. | Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-quille |