论文标题
连续的主题集成：以边缘化社区为中心
Continuous Subject-in-the-Loop Integration: Centering AI on Marginalized Communities
论文作者
论文摘要
尽管乌托邦式的承诺是一种破坏性均衡器，但与大多数以中立为幌子部署的工具一样，AI倾向于简单地增强现有的社会结构。为了应对这一趋势，激进的AI要求以边缘化为中心。我们认为，关键基础设施中的差距正在阻止激进AI的广泛采用，并提出了指导原则，以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中心边缘化的声音。
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.
