Awa Dieng

According to our database, Awa Dieng authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

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, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour

CoRR, June, 2025

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

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

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

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

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, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal

CoRR, 2024

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

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

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

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, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

CoRR, 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, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.

Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021.

Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2019

Interpretable Almost-Exact Matching for Causal Inference.

Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference.

Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2018