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Usman Gohar
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2020 – today
- 2026
- [i13]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:
When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation. CoRR abs/2602.16763 (2026) - [i12]Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Malcolm Murray, Rishi Bommasani, Stephen Casper, Tom Davidson, Raymond Douglas, David Duvenaud, Philip Fox, Usman Gohar, Rose Hadshar, Anson Ho, Tiancheng Hu, Cameron Jones, Sayash Kapoor, Atoosa Kasirzadeh, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Richard Moulange, Jessica Newman, Kwan Yee Ng, Patricia Paskov, Shalaleh Rismani, Girish Sastry, Elizabeth Seger, Scott Singer, Charlotte Stix, Lucia Velasco, Nicole Wheeler:
International AI Safety Report 2026. CoRR abs/2602.21012 (2026) - 2025
- [j1]Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng:
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. Trans. Mach. Learn. Res. 2025 (2025) - [c6]Usman Gohar, Michael C. Hunter, Myra B. Cohen, Robyn R. Lutz:
A Taxonomy of Real-World Defeaters in Safety Assurance Cases. MO2RE 2025: 3-9 - [i11]Usman Gohar, Michael C. Hunter, Myra B. Cohen, Robyn R. Lutz:
A Taxonomy of Real-World Defeaters in Safety Assurance Cases. CoRR abs/2502.00238 (2025) - [i10]Michael C. Hunter, Usman Gohar, Myra B. Cohen, Robyn R. Lutz, Jane Cleland-Huang:
A Family-Based Approach to Safety Cases for Controlled Airspaces in Small Uncrewed Aerial Systems. CoRR abs/2502.02559 (2025) - [i9]Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion
, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR abs/2503.05731 (2025) - [i8]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:
Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations. CoRR abs/2511.05613 (2025) - 2024
- [c5]Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi:
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. AFME 2024: 96-118 - [c4]Usman Gohar
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations. ICSE (SEIS) 2024: 177-188 - [c3]Usman Gohar
CoDefeater: Using LLMs To Find Defeaters in Assurance Cases. ASE 2024: 2262-2267 - [i7]Usman Gohar, Michael C. Hunter, Agnieszka Marczak-Czajka, Robyn R. Lutz, Myra B. Cohen, Jane Cleland-Huang:
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations. CoRR abs/2401.07353 (2024) - [i6]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i5]Usman Gohar
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR abs/2406.06736 (2024) - [i4]Usman Gohar, Michael C. Hunter, Robyn R. Lutz, Myra B. Cohen:
CoDefeater: Using LLMs To Find Defeaters in Assurance Cases. CoRR abs/2407.13717 (2024) - [i3]Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi:
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. CoRR abs/2411.11101 (2024) - 2023
- [c2]Usman Gohar
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. ICSE 2023: 1533-1545 - [c1]Usman Gohar
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. IJCAI 2023: 6619-6627 - [i2]Usman Gohar, Lu Cheng:
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. CoRR abs/2305.06969 (2023) - 2022
- [i1]Usman Gohar, Sumon Biswas, Hridesh Rajan:
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. CoRR abs/2212.04593 (2022)
Coauthor Index
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