持续的主体在环整合：以边缘化社区为中心的AI
Continuous Subject-in-the-Loop Integration: Centering AI on Marginalized Communities
摘要：
尽管它的乌托邦式承诺是破坏性的均衡器，但人工智能--就像大多数以中立为幌子部署的工具一样--往往只是加强现有的社会结构。为了应对这一趋势，激进的人工智能呼吁以边缘化为中心。我们认为，关键基础设施的差距阻碍了激进人工智能的广泛采用，并提出了一个指导原则，用于识别这些基础设施差距，并评估新基础设施的建议是否有效地集中了边缘化的声音。
英文摘要：
Despite its utopian promises as a disruptive equalizer, AI - like most tools deployed under the guise of neutrality - has tended to simply reinforce existing social structures. To counter this trend, radical AI calls for centering on the marginalized. We argue that gaps in key infrastructure are preventing the widespread adoption of radical AI, and propose a guiding principle for both identifying these infrastructure gaps and evaluating whether proposals for new infrastructure effectively center marginalized voices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
