【作者简介】吴桐雨，浙江大学社会学系百人计划研究员，主要研究方向为劳工社会学、科技产业和性别研究；夏冰青，华东师范大学传播学院副教授，主要研究方向为互联网经济和数字劳动。

【文章来源】《社会学评论》第6期

【内容提要】本研究以人工智能数据标注产业为案例，解析中国平台劳动的再嵌入现象。通过分析为期两年的田野调查和154个半结构性访谈资料，构建了“算法补足组织”的概念框架，探讨了“补足组织”如何衔接算法与平台劳动，使之再嵌入回社会关系。由地方政府介入的算法补足组织依据自身组织资源和逻辑，弥合了算法控制所带来的部分潜在劳工问题。在特定情景下，算法补足组织还可能与劳工形成利益同盟，调动组织资源消减算法黑箱特性，联合对抗过度算法控制，这一事实挑战了算法冷漠性等相关理论。

【关键词】平台劳动；算法控制；数据标注；人工智能；数字劳动

【全文链接】http://src.ruc.edu.cn/CN/Y2023/V11/I6/47

Computing and Manipulating:The Complementary Organization to Algorithms in the Data Labeling Work

WU Tong-yu，XIA Bing-qing

Abstract：This study examines the artificial intelligence data annotation industry to analyze the re-embeddedness of labor in Chinese platforms. Utilizing insights from two years of fieldwork and 154 semi-structured interviews, we introduce the conceptual framework of“complementary organizations to algorithms(COTAs)”. This framework investigates how these organizations facilitate the connection between algorithms and platform labor, effectively re-embedding the latter into social relations. COTAs, often influenced by local government interventions, strategically utilize their organizational resources and logic to address andmitigate various labor issues arising from algorithmic control. In certain scenarios, these organizations may form alliances with workers, leveraging organizational resources to reduce the opacity of algorithmic“black boxes”and collectivelyresist algorithmic control. This dynamic challenges prevailing theories centeredon algorithmic cruelty and abstraction, offering a new perspective on the interplay between algorithms and platform labor.

Keywords:platform labor, algorithmic control, data labeling, artificial intelligence, digital labor