Preprints/Working Papers
Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores
Rui Zhao, Naman Goel, Nitin Agrawal, ..., Tim Berners-Lee, Nigel Shadbolt
[Paper][Code](Status: Major Revision at Proceedings of the ACM on Human-Computer Interaction, CSCW)Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation
Vishal Ramesh, Rui Zhao, Naman Goel
[Paper][Code] (Status: Working Paper)On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
Naman Goel
[Paper] (Status: Under Review)Fairness-Aware Interactive Target Variable Definition
Dalia Gala, Milo Phillips-Brown, Naman Goel, ..., Ray Eitel-Porter
[Paper][Demo][Video][Code] (Status: Under Review)
Publications
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
Emilia Agis Lerner, Florian Dorner, Elliott Ash, Naman Goel
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024.
[Paper][Data (CC BY-NC-SA)]SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores
Vidminas Vizgirda, Rui Zhao, Naman Goel
Companion Proceedings of the ACM Web Conference, TheWebConf (WWW) 2024. (Demonstration)
[Paper][Code][Video]WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash*, Naman Goel*, Nianyun Li*, Claudia Marangon*, Peiyao Sun*
Proceedings of the 37th Conference on Neural Information Processing Systems, NeurIPS, 2023.
[Paper][Data (CC BY-NC-SA)][Poster][Video]Human-Guided Fair Classification for Natural Language Processing
Florian Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin Vechev
Proceedings of the International Conference on Learning Representations, ICLR, 2023.
[Paper][Poster][Code][Video]
Notable Top 25% Incentive Mechanism Design for Responsible Data Governance: A Large Scale Field Experiment
Christina Timko, Malte Niederstadt, Naman Goel, Boi Faltings
ACM Journal of Data and Information Quality, ACM JDIQ 2023.
[Paper][Code and Data]'You are you and the app. There’s nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony
Jake Stein, Vidminas Vizgirda, ..., Naman Goel, ..., Nigel Shadbolt
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, CHI, 2023.
[Paper][Video]Data-Centric Factors in Algorithmic Fairness
Nianyun Li, Naman Goel, Elliott Ash
Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, AAAI/ACM AIES, 2022.
[Paper][Poster][Video]The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, 2021.
[Paper][Poster][Supplementary Material][10 min Video][15 min Video][30 min Video]Truthful, Transparent and Fair Data Collection Mechanisms
Naman Goel
PhD Thesis, EPFL, 2020.
[Thesis]Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
Naman Goel*, Cyril van Schreven*, Aris Filos-Ratsikas, Boi Faltings
Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI, 2020.
[Paper][Poster][Medium Blog][Short Video][Long Video]Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI, 2020.
[Paper][Poster][Short Video][Long Video]Tackling Peer-to-Peer Discrimination in the Sharing Economy
Naman Goel, Maxime Rutagarama, Boi Faltings
Proceedings of the 12th ACM Web Science Conference, ACM WebSci, 2020.
[Paper][Video]
Best Paper Award Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
Naman Goel, Boi Faltings
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, UAI, 2019.
[Paper][Poster][Short Video]Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel, Boi Faltings
Proceedings of the 33rd AAAI Conference on Artificial Intelligence, AAAI, 2019.
[Paper][Supplementary Material][Poster]Crowdsourcing with Fairness, Diversity and Budget Constraints
Naman Goel, Boi Faltings
Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, AAAI/ACM AIES, 2019.
[Paper][Poster]Non-Discriminatory Machine Learning through Convex Fairness Criteria
Naman Goel, Mohammad Yaghini, Boi Faltings
Proceedings of the 32nd AAAI Conference on Artificial Intelligence, AAAI, 2018.
[Paper][Poster]AllegatorTrack: Combining and reporting results of truth discovery from multi-source data
DA Waguih, Naman Goel, HM Hammady, L Berti-Equille
Proceedings of the 31st IEEE International Conference on Data Engineering, ICDE, 2015. (Demonstration)
[Paper][Code][Demo]Parameter Database: Data-centric Synchronization for Scalable Machine Learning
Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed Elmagarmid
QCRI Technical Report, 2015.
[Paper]