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.

该研究报告介绍了我们对 “Equitable AI Research Roundtable” 的初步评估，这是一个由法律、教育、社区参与、社会正义和技术专家组成的联盟，该联盟在大型科技公司、非营利组织、非政府研究机构和大学之间进行合作。在半结构化的工作坊和讨论中，EARR 提供了关于如何将公平和脆弱性概念化为 AI 技术相关问题的关键观点和反馈。我们概述了 EARR 迄今为止实践的三个原则，这些原则与 FAccT 社区的关注点特别相关：如何扩大 AI 技术开发的专业知识范围，如何促进认知好奇心和责任，以及创造相互学习的空间。本文既是对这种参与方法的经验教训的分析和翻译，也是未来研究的可能性。