Jamila Smith-Loud

11 papers A* 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach.
CoRR
Erin van Liemt, Renee Shelby, Andrew Smart, Sinchana Kumbale, Richard Zhang, Neha Dixit, Qazi Mamunur Rashid, Jamila Smith-Loud
2025 J jnl
Amplify Initiative: Building A Localized Data Platform for Globalized AI.
CoRR
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
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 A* conf
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries.
CHI
Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox
2024 J jnl
Socially Responsible Data for Large Multilingual Language Models.
CoRR
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
2023 J jnl
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries.
CoRR
Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox
2023 J jnl
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development.
CoRR
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
2020 J jnl
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing.
CoRR
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 — conf
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.
FAT*
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
2020 — conf
Towards a critical race methodology in algorithmic fairness.
FAT*
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
2019 J jnl
Towards a Critical Race Methodology in Algorithmic Fairness.
CoRR
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud