发表机构
Yale University（耶鲁大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本章提出平台榨取主义框架，揭示AI依赖不稳定平台劳动、文化标注规范及无偿再生产劳动，在资本主义下延续殖民性并集中价值于核心地区。
AI 中文摘要
本章考察了数字平台作为当代人工智能中榨取主义的基础设施，如何使企业能够占有数据和劳动力，同时将价值集中于硅谷等核心地区。它提出了平台榨取主义作为一个框架，将商品化、认识论主导和通过领土的再生产联系起来。借鉴数字劳动研究、拉丁美洲批判性思想以及与委内瑞拉和哥伦比亚数据工作者进行的混合方法研究，本章讨论了人工智能如何依赖不稳定的平台劳动来生产、清理、标注和维护数据。它还进一步展示了标注系统如何将特定文化类别（尤其是美国规范）规范化为普遍知识，从而再生产殖民等级制度。最后，它强调了数据工作如何由无偿的再生产劳动、社区网络和使工人可用于平台劳动的物质条件所维持。因此，平台榨取主义揭示了人工智能在资本主义下是一个劳动密集且具有领土嵌入性的政治经济体系，延续了殖民性的遗产。
英文摘要
This chapter examines how digital platforms, as infrastructures of extractivism in contemporary artificial intelligence, enable corporations to appropriate data and labour while concentrating value in core regions such as Silicon Valley. It proposes platform extractivism as a framework linking commodification, epistemic dominance, and reproduction through territory. Drawing on digital labour studies, Latin American critical thought, and mixed-methods research with Venezuelan and Colombian data workers, the chapter discusses how AI depends on precarious platform labour to produce, clean, annotate, and maintain data. It further shows how annotation systems normalize culturally specific categories, especially US norms, as universal knowledge, reproducing colonial hierarchies. Finally, it highlights how data work is sustained by unpaid reproductive labour, community networks, and material conditions that make workers available for platform labour. Platform extractivism thus reveals AI as a labour-intensive and territorially embedded political-economic system under capitalism that perpetuates legacies of coloniality.
