Towards Understanding Fairness and its Composition in Ensemble Machine Learning. - Usman Gohar; Sumon Biswas; Hridesh Rajan (ICSE, 2023)

A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. - Usman Gohar; Lu Cheng 001 (IJCAI, 2023)

Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations. - Usman Gohar; Michael C. Hunter; Agnieszka Marczak-Czajka; Robyn R. Lutz; Myra B. Cohen; Jane Cleland-Huang (ICSE (SEIS), 2024)

CoDefeater: Using LLMs To Find Defeaters in Assurance Cases. - Usman Gohar; Michael C. Hunter; Robyn R. Lutz; Myra B. Cohen (ASE, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. - Prakhar Ganesh; Usman Gohar; Lu Cheng; Golnoosh Farnadi (CoRR, 2024)

A Taxonomy of Real-World Defeaters in Safety Assurance Cases. - Usman Gohar; Michael C. Hunter; Myra B. Cohen; Robyn R. Lutz (MO2RE, 2025)

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. - Usman Gohar; Zeyu Tang 002; Jialu Wang; Kun Zhang 001; Peter Spirtes; Yang Liu 018; Lu Cheng 001 (Trans. Mach. Learn. Res., 2025)

A Family-Based Approach to Safety Cases for Controlled Airspaces in Small Uncrewed Aerial Systems. - Michael C. Hunter; Usman Gohar; Myra B. Cohen; Robyn R. Lutz; Jane Cleland-Huang (CoRR, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)