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.

翻译：本文报告了我们对公平人工智能研究圆桌会议（Equitable AI Research Roundtable）的初步评估。EARR是一个由法律、教育、社区参与、社会正义和技术领域的专家组成的联盟。该联盟由一家大型科技公司、非营利组织、非政府组织研究机构和大学合作创建，旨在为技术新兴的伦理与社会危害提供基于研究的批判性视角和反馈。通过在该大型科技公司内部组织的半结构化研讨会和讨论，EARR就如何在与AI技术相关的背景下概念化公平性与脆弱性提供了关键视角和反馈。我们阐述了EARR迄今运作中与FAccT社区关切尤为相关的三项实践原则：EARR如何扩展AI开发中的专业范围；如何促进认知好奇心与责任感的机遇；以及如何创造一个相互学习的空间。本文既是对该参与式方法所获经验教训的分析与转化，也为未来研究提供了可能性探讨。