Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. - Awa Dieng; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2018)

Interpretable Almost-Exact Matching for Causal Inference. - Awa Dieng; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AISTATS, 2019)

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. - Jessica Schrouff; Awa Dieng; Miriam Rateike; Kweku Kwegyir-Aggrey; Golnoosh Farnadi (AFCR, 2021)

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. - Awa Dieng; Miriam Rateike; Golnoosh Farnadi; Ferdinando Fioretto; Matt J. Kusner; Jessica Schrouff (AFCP, 2022)

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. - Jessica Schrouff; Natalie Harris; Sanmi Koyejo; Ibrahim M. Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (NeurIPS, 2022)

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? - Jessica Schrouff; Natalie Harris; Oluwasanmi Koyejo; Ibrahim Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (CoRR, 2022)

Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. - Mercy Nyamewaa Asiedu; Awa Dieng; Abigail Oppong; Maria Nagawa; Sanmi Koyejo; Katherine A. Heller (CoRR, 2023)

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. - Mercy Nyamewaa Asiedu; Awa Dieng; Iskandar Haykel; Negar Rostamzadeh; Stephen Pfohl; Chirag Nagpal; Maria Nagawa; Abigail Oppong; Sanmi Koyejo; Katherine A. Heller (EAAMO, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. - Mercy Nyamewaa Asiedu; Nenad Tomasev; Chintan Ghate; Tiya Tiyasirichokchai; Awa Dieng; Oluwatosin Akande; Geoffrey Siwo; Steve Adudans; Sylvanus Aitkins; Odianosen Ehiakhamen; Eric Ndombi; Katherine A. Heller (CoRR, 2024)

Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. - Mercy Nyamewaa Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (CoRR, 2024)

Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. - Mercy Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (FAccT, 2025)

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. - Stephen R. Pfohl; Natalie Harris; Chirag Nagpal; David Madras; Vishwali Mhasawade; Olawale Salaudeen; Awa Dieng; Shannon Sequeira; Santiago Eduardo Arciniegas; Lillian Sung; Nnamdi Ezeanochie; Heather Cole-Lewis; et al. (CoRR, 2025)