Awa Dieng - RankMe

18 papers A* 1A 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. FAccT Mercy Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2025	J	`jnl`	Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. CoRR 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
2024	J	`jnl`	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR 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
2024	—	`conf`	Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024. AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	J	`jnl`	Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. CoRR 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
2024	J	`jnl`	Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. CoRR Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2024	—	`ed.`	Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	—	`conf`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. EAAMO Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2023	J	`jnl`	Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Sanmi Koyejo, Katherine A. Heller
2022	—	`conf`	Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	—	`ed.`	Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022 AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	A*	`conf`	Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 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
2022	J	`jnl`	Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR 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
2021	—	`conf`	Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. AFCR Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2021	—	`ed.`	Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021. AFCR Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2019	A	`conf`	Interpretable Almost-Exact Matching for Causal Inference. AISTATS Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2018	J	`jnl`	Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. CoRR Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky