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2020 – today
- 2024
[c3]Allison Woodruff
, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox:
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. CHI 2024: 641:1-641:26- [i6]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:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - [i5]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:
Socially Responsible Data for Large Multilingual Language Models. CoRR abs/2409.05247 (2024) - 2023
- [i4]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:
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development. CoRR abs/2303.08177 (2023) - [i3]Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox:
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries. CoRR abs/2310.06778 (2023) - 2020
- [c2]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. FAT* 2020: 33-44 - [c1]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a critical race methodology in algorithmic fairness. FAT* 2020: 501-512 - [i2]Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. CoRR abs/2001.00973 (2020)
2010 – 2019
- 2019
- [i1]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR abs/1912.03593 (2019)
Coauthor Index
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