Jamila Smith-Loud

According to our database, Jamila Smith-Loud authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation.

Qazi Mamunur Rashid, Xuan Yang, Zhengzhe Yang, Yanzhou Pan, Erin van Liemt, Darlene Neal, Kshitij Pancholi, Jamila Smith-Loud

CoRR, May, 2026

Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach.

Erin van Liemt, Renee Shelby, Andrew Smart, Sinchana Kumbale, Richard Zhang, Neha Dixit, Qazi Mamunur Rashid, Jamila Smith-Loud

CoRR, March, 2026

Amplifying Global Voices: Building a Localized Data Platform for Globalized AI.

Qazi Rashid, Joyce Nakatumba-Nabende, Erin MacMurray van Liemt, Rehema Baguma, Tiffany Shih, Xuan Yang, Amber Ebinama, Zhengzhe Yang, Madhurima Maji, Aishwarya Verma, Charu Kalia, Karla Barrios Ramos, Andrew Katumba, Jamila Smith-Loud, Chodrine Mutebi, Jagen Marvin, Eric Peter Wairagala, Mugizi Bruce, Peter Oketta, Lawrence Nderu, Obichi Obiajunwa, Abigail Oppong, Michael Zimba

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Amplify Initiative: Building A Localized Data Platform for Globalized AI.

Qazi Mamunur Rashid, Erin van Liemt, Tiffany Shih, Amber Ebinama, Karla Barrios Ramos, Madhurima Maji, Aishwarya Verma, Charu Kalia, Jamila Smith-Loud, Joyce Nakatumba-Nabende, Rehema Baguma, Andrew Katumba, Chodrine Mutebi, Jagen Marvin, Eric Peter Wairagala, Mugizi Bruce, Peter Oketta, Lawrence Nderu, Obichi Obiajunwa, Abigail Oppong, Michael Zimba, Data Authors

CoRR, April, 2025

2024

Socially Responsible Data for Large Multilingual Language Models.

Andrew Smart, Ben Hutchinson, Lameck Mbangula Amugongo, Suzanne Dikker, Alex Zito, Amber Ebinama, Zara Wudiri, Ding Wang, Erin van Liemt, João Sedoc, Seyi Olojo, Stanley Uwakwe, Edem Wornyo, Sonja Schmer-Galunder, Jamila Smith-Loud

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

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries.

Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development.

Jamila Smith-Loud, Andrew Smart, Darlene Neal, Amber Ebinama, Eric Corbett, Paul Nicholas, Qazi Rashid, Anne Peckham, Sarah Murphy-Gray, Nicole Morris, Elisha Smith Arrillaga, Nicole-Marie Cotton, Emnet Almedom, Olivia Araiza, Eliza McCullough, Abbie Langston, Christopher Nellum

CoRR, 2023

2020

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.

Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes

Proceedings of the FAT* '20: Conference on Fairness, 2020

Towards a critical race methodology in algorithmic fairness.

Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud

Proceedings of the FAT* '20: Conference on Fairness, 2020