Avijit Ghosh

According to our database, Avijit Ghosh authored at least 45 papers between 2007 and 2026.

Collaborative distances:

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

2026

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.

Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman

CoRR, February, 2026

Open Technical Problems in Open-Weight AI Model Risk Management.

Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J. Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2026

AI for scientific discovery is a social problem.

Georgia Channing, Avijit Ghosh

Patterns, 2026

2025

Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem.

Shayne Longpre, Christopher Akiki, Campbell Lund, Atharva Kulkarni, Emily Chen, Irene Solaiman, Avijit Ghosh, Yacine Jernite, Lucie-Aimée Kaffee

CoRR, December, 2025

Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations.

Anka Reuel, Avijit Ghosh, Jenny Chim, Andrew Tran, Yanan Long, Jennifer Mickel, Usman Gohar, Srishti Yadav, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni, Yohan Mathew, Kevin Klyman, Jeba Sania, Subramanyam Sahoo, Olivia Beyer Bruvik, Pouya Sadeghi, Sujata S. Goswami, Angelina Wang, Yacine Jernite, Zeerak Talat, Stella Biderman, Mykel J. Kochenderfer, Sanmi Koyejo, Irene Solaiman

CoRR, November, 2025

Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators.

Sourojit Ghosh, Sanjana Gautam, Pranav Venkit, Avijit Ghosh

CoRR, August, 2025

A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets.

Ryan Lagasse, Aidan Kierans, Avijit Ghosh, Shiri Dori-Hacohen

CoRR, May, 2025

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development.

Aidan Kierans, Kaley Rittichier, Utku Sonsayar, Avijit Ghosh

CoRR, May, 2025

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth E. Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

CoRR, March, 2025

Protecting Human Cognition in the Age of AI.

Anjali Singh, Karan Taneja, Zhitong Guan, Avijit Ghosh

CoRR, February, 2025

Stop treating 'AGI' as the north-star goal of AI research.

Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen

CoRR, February, 2025

Fully Autonomous AI Agents Should Not be Developed.

Margaret Mitchell, Avijit Ghosh, Alexandra Sasha Luccioni, Giada Pistilli

CoRR, February, 2025

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models.

Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Position: Stop treating 'AGI' as the north-star goal of AI research.

Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services.

Shira Michel, Sufi Kaur, Sarah Elizabeth Gillespie, Jeffrey L. Gleason, Christo Wilson, Avijit Ghosh

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices.

Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, William H. Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment.

Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study.

Avijit Ghosh, Tomo Lazovich, Kristian Lum, Christo Wilson

CoRR, 2024

Quantifying Misalignment Between Agents.

Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen

CoRR, 2024

Coordinated Disclosure for AI: Beyond Security Vulnerabilities.

Sven Cattell, Avijit Ghosh

CoRR, 2024

Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results.

Jeffrey L. Gleason, Avijit Ghosh, Ronald E. Robertson, Christo Wilson

Proceedings of the ACM on Web Conference 2024, 2024

Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities.

Sven Cattell, Avijit Ghosh, Lucie-Aimée Kaffee

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Report on the SIGIR 2023 Session on Diversity, Equity and Inclusivity.

Suzan Verberne, Hussein Suleman, Luca Soldaini, Avijit Ghosh

SIGIR Forum, December, 2023

Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI.

Avijit Ghosh, Dhanya Lakshmi

CoRR, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

When Fair Classification Meets Noisy Protected Attributes.

Avijit Ghosh, Pablo Kvitca, Christo Wilson

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Can There be Art Without an Artist?

Avijit Ghosh, Genoveva Fossas

CoRR, 2022

Subverting Fair Image Search with Generative Adversarial Perturbations.

Avijit Ghosh, Matthew Jagielski, Christo Wilson

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences.

Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Aaron Rieke, Alan Mislove

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

FairCanary: Rapid Continuous Explainable Fairness.

Avijit Ghosh, Aalok Shanbhag, Christo Wilson

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

2021

FairCanary: Rapid Continuous Explainable Fairness.

Avijit Ghosh, Aalok Shanbhag

CoRR, 2021

Unified Shapley Framework to Explain Prediction Drift.

Aalok Shanbhag, Avijit Ghosh, Josh Rubin

CoRR, 2021

When Fair Ranking Meets Uncertain Inference.

Avijit Ghosh, Ritam Dutt, Christo Wilson

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Building and Auditing Fair Algorithms: A Case Study in Candidate Screening.

Christo Wilson, Avijit Ghosh, Shan Jiang, Alan Mislove, Lewis J. Baker, Janelle Szary, Kelly Trindel, Frida Polli

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Characterizing Intersectional Group Fairness with Worst-Case Comparisons.

Avijit Ghosh, Lea Genuit, Mary Reagan

Proceedings of the Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, 2021

2019

Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences.

Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Alan Mislove, Aaron Rieke

CoRR, 2019

Public Sphere 2.0: Targeted Commenting in Online News Media.

Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty

Proceedings of the Advances in Information Retrieval, 2019

2018

SAVITR: A System for Real-time Location Extraction from Microblogs during Emergencies.

Ritam Dutt, Kaustubh Hiware, Avijit Ghosh, Rameshwar Bhaskaran

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

WebSelect: A Research Prototype for Optimizing Ad Exposures based on Network Structure.

Avijit Ghosh, Agam Gupta, Divya Sharma, Uttam Kumar Sarkar

CoRR, 2017

2009

Classification of Cellular Automata Rules Based on Their Properties

Pabitra Pal Choudhury, Sudhakar Sahoo, Sarif Sk. Hassan, Satrajit Basu, Dibyendu Ghosh, Debarun Kar, Abhishek Ghosh, Avijit Ghosh, Amal K. Ghosh

CoRR, 2009

2007

A fully adaptive reaction-diffusion integration scheme with applications to systems biology.

David J. Miller, Avijit Ghosh

J. Comput. Phys., 2007