AI 的权利
The Right to AI
AI总结：
本文提出“AI 的权利”，将 AI 视为社会基础设施，并通过基层参与式方法和四层模型，探索如何在技术效率与民主正当性之间实现更好的 AI 治理平衡。
摘要：
本文提出一项“AI 的权利”，主张个人与社区应当有意义地参与塑造其生活的 AI 系统的开发与治理。受 AI 在关键领域日益广泛部署的推动，并受亨利·列斐伏尔“城市权利”概念的启发，我们将 AI 重新概念化为一种社会基础设施，而不仅仅是专家设计的产物。本文批判性地评估了生成式智能体、大规模数据提取以及多元文化价值如何给 AI 监督带来新的复杂性。本文提出，基层参与式方法能够缓解有偏的结果并增强社会响应性。本文主张，数据是社会性生产的，应当被集体管理和集体拥有。借鉴雪莉·阿恩斯坦的“公民参与阶梯”，并分析九个案例研究，本文为“AI 的权利”发展出一个四层模型，该模型既定位当前范式，也展望一个理想化的未来。本文提出了关于包容性数据所有权、透明设计过程以及利益相关者驱动的监督的建议。我们还讨论了市场主导和国家中心主义的替代方案，并论证参与式方法能够在技术效率与民主正当性之间实现更好的平衡。
英文摘要：
This paper proposes a Right to AI, which asserts that individuals and communities should meaningfully participate in the development and governance of the AI systems that shape their lives. Motivated by the increasing deployment of AI in critical domains and inspired by Henri Lefebvre's concept of the Right to the City, we reconceptualize AI as a societal infrastructure, rather than merely a product of expert design. In this paper, we critically evaluate how generative agents, large-scale data extraction, and diverse cultural values bring new complexities to AI oversight. The paper proposes that grassroots participatory methodologies can mitigate biased outcomes and enhance social responsiveness. It asserts that data is socially produced and should be managed and owned collectively. Drawing on Sherry Arnstein's Ladder of Citizen Participation and analyzing nine case studies, the paper develops a four-tier model for the Right to AI that situates the current paradigm and envisions an aspirational future. It proposes recommendations for inclusive data ownership, transparent design processes, and stakeholder-driven oversight. We also discuss market-led and state-centric alternatives and argue that participatory approaches offer a better balance between technical efficiency and democratic legitimacy.
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。
