暨南学报(哲学社会科学版)

作者：粟瑜

单位：华东理工大学法学院。

关键词：人工智能,数据标注,众包,新就业形态,平台立法

基金：国家社会科学基金一般项目“增强劳动力市场灵活性的劳动法规制研究”(17BFX134);国家社会科学基金一般项目“人工智能对劳动法的挑战及其应对研究”(19BFX178);华东理工大学探索研究基金(中央高校基本科研业务费专项资金)项目“供给侧结构性改革中企业灵活用工的变化与劳动法规制”(50321161922003)。

伴随新一代人工智能产业的高速发展、平台用工模式向生产服务领域的深度扩张,数据标注众包劳动正在我国悄然兴起,但也面临低收入、高强度、虚自主、实管控、无保障等就业质量问题,且被制度性地排除在各种劳动交换法律保护以外。为促进人工智能产业健康发展、切实维护新就业形态劳动者权益,我国有必要探索构建数据标注众包劳动法律保护制度,保护进路的选择需强调专门立法与司法衡平结合,尽快启动软法,审慎诉诸硬法;保护范围的划定在立法上可将服务合同作为类型构造基础,但在司法上应坚持事实优先,准确辨析隐蔽的劳动关系,克服可能发生的监管套利;保护措施的配置可从财产性权益、人格性权益两大方面分类展开。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["国家社会科学基金一般项目“增强劳动力市场灵活性的劳动法规制研究”(17BFX134);国家社会科学基金一般项目“人工智能对劳动法的挑战及其应对研究”(19BFX178);华东理工大学探索研究基金(中央高校基本科研业务费专项资金)项目“供给侧结构性改革中企业灵活用工的变化与劳动法规制”(50321161922003)。"],"article":{"keywordList_cn":["平台立法","人工智能","数据标注","新就业形态","众包"],"juan":"45","zhaiyao_cn":"伴随新一代人工智能产业的高速发展、平台用工模式向生产服务领域的深度扩张,数据标注众包劳动正在我国悄然兴起,但也面临低收入、高强度、虚自主、实管控、无保障等就业质量问题,且被制度性地排除在各种劳动交换法律保护以外。为促进人工智能产业健康发展、切实维护新就业形态劳动者权益,我国有必要探索构建数据标注众包劳动法律保护制度,保护进路的选择需强调专门立法与司法衡平结合,尽快启动软法,审慎诉诸硬法;保护范围的划定在立法上可将服务合同作为类型构造基础,但在司法上应坚持事实优先,准确辨析隐蔽的劳动关系,克服可能发生的监管套利;保护措施的配置可从财产性权益、人格性权益两大方面分类展开。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6069","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6069","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20221204","qi":"1","id":6069,"nian":2023,"bianHao":"2023-1-64","zuoZheEn_L":"SU Yu","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2023","shouCiFaBuRiQi":"2023-03-17","qiShiYe":"64","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2023/V45/I1","lanMu_cn":"劳动法研究","pdfSize":"1321","zuoZhe_CN":"粟瑜","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6069","title_cn":"人工智能时代数据标注众包劳动的法律保护","doi":"10.11778/j.jnxb.20221204","jieShuYe":"77","keywordList_en":["artificial intelligence","crowdsourcing","data annotation","new employment patterns","platform legislation"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6069","zhaiyao_en":"With the rapid development of the new generation of artificial intelligence industry and the deep expansion of the platform employment model to the field of production services, data label crowdsourcing labor is rising in China, but it is also facing employment quality problems, such as low income, high intensity, virtual autonomy, real control, and no guarantee, and it is institutionally excluded from various labor exchange legal protections. 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来源：2023年第1期

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