3 citations · 6 across the 3 of their papers we have counts for
3 papers
Amplify Initiative: Building A Localized Data Platform for Globalized AI
Qazi Mamunur Rashid, Erin van Liemt, Tiffany Shih +19
Current AI models often fail to account for local context and language, given the predominance of English and Western internet content in their training data. This hinders the glob…
Socially Responsible Data for Large Multilingual Language Models
Andrew Smart, Ben Hutchinson, Lameck Mbangula Amugongo +12
Large Language Models (LLMs) have rapidly increased in size and apparent capabilities in the last three years, but their training data is largely English text. There is growing int…
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
Jamila Smith-Loud, Andrew Smart, Darlene Neal +14
This paper reports on our initial evaluation of The Equitable AI Research Roundtable -- a coalition of experts in law, education, community engagement, social justice, and technolo…