Towards a critical race methodology in algorithmic fairness. - Alex Hanna; Emily Denton; Andrew Smart; Jamila Smith-Loud (FAT*, 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 (FAT*, 2020)

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; et al. (CoRR, 2023)

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 (CHI, 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)

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; et al. (CoRR, 2024)

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; et al. (CoRR, 2025)