The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
Abstract
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 technology. EARR was created in collaboration among a large tech firm, nonprofits, NGO research institutions, and universities to provide critical research based perspectives and feedback on technology's emergent ethical and social harms. Through semi-structured workshops and discussions within the large tech firm, EARR has provided critical perspectives and feedback on how to conceptualize equity and vulnerability as they relate to AI technology. We outline three principles in practice of how EARR has operated thus far that are especially relevant to the concerns of the FAccT community: how EARR expands the scope of expertise in AI development, how it fosters opportunities for epistemic curiosity and responsibility, and that it creates a space for mutual learning. This paper serves as both an analysis and translation of lessons learned through this engagement approach, and the possibilities for future research.
Keywords
Cite
@article{arxiv.2303.08177,
title = {The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development},
author = {Jamila Smith-Loud and Andrew Smart and Darlene Neal and Amber Ebinama and Eric Corbett and Paul Nicholas and Qazi Rashid and Anne Peckham and Sarah Murphy-Gray and Nicole Morris and Elisha Smith Arrillaga and Nicole-Marie Cotton and Emnet Almedom and Olivia Araiza and Eliza McCullough and Abbie Langston and Christopher Nellum},
journal= {arXiv preprint arXiv:2303.08177},
year = {2023}
}
Comments
14 pages, 1 figure