Naman Goel

According to our database, Naman Goel authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.

Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel

CoRR, 2024

FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition.

Dalia Gala, Milo Phillips-Brown, Naman Goel, Carinal Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter

CoRR, 2024

SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores.

Vidminas Vizgirda, Rui Zhao, Naman Goel

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment.

Christina Timko, Malte Niederstadt, Naman Goel, Boi Faltings

ACM J. Data Inf. Qual., June, 2023

On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models.

Naman Goel

CoRR, 2023

Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation.

Vishal Ramesh, Rui Zhao, Naman Goel

CoRR, 2023

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores.

Rui Zhao, Naman Goel, Nitin Agrawal, Jun Zhao, Jake M. L. Stein, Ruben Verborgh, Reuben Binns, Tim Berners-Lee, Nigel Shadbolt

CoRR, 2023

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts.

Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-Guided Fair Classification for Natural Language Processing.

Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

'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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Data-Centric Factors in Algorithmic Fairness.

Nianyun Li, Naman Goel, Elliott Ash

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.

Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Truthful, Transparent and Fair Data Collection Mechanisms.

Naman Goel

PhD thesis, 2020

Tackling Peer-to-Peer Discrimination in the Sharing Economy.

Naman Goel, Maxime Rutagarama, Boi Faltings

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain.

Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives.

Naman Goel, Aris Filos-Ratsikas, Boi Faltings

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Infochain: A Decentralized System for Truthful Information Elicitation.

Cyril van Schreven, Naman Goel, Boi Faltings

CoRR, 2019

Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data.

Naman Goel, Boi Faltings

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Crowdsourcing with Fairness, Diversity and Budget Constraints.

Naman Goel, Boi Faltings

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd.

Naman Goel, Boi Faltings

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing.

Naman Goel, Boi Faltings

CoRR, 2018

Non-Discriminatory Machine Learning Through Convex Fairness Criteria.

Naman Goel, Mohammad Yaghini, Boi Faltings

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Parameter Database : Data-centric Synchronization for Scalable Machine Learning.

Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid

CoRR, 2015

AllegatorTrack: Combining and reporting results of truth discovery from multi-source data.

Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015