暨南学报(哲学社会科学版)

作者：雍晨

单位：西南政法大学人工智能法律研究院。

关键词：数据治理,财产规则,责任规则,卡—梅框架

基金：教育部哲学社会科学重大攻关项目“人工智能发展中的重大风险防范体系研究”(20JZD026)。

智能驾驶数据是智能驾驶汽车运行过程中收集、使用的数据,包括车内数据、路边环境数据以及智能车联数据。这些数据无论是基于个人信息保护还是国家安全立场,都存在风险防范与治理的必要。但是,智能驾驶数据体量巨大、主体多元、涉及权益复杂,传统主体赋权路径难以明确数据权属及各方权利义务分配,数据隐私与数据公开的矛盾在智能驾驶领域表现得尤为突出。对此,智能驾驶数据的治理框架需基于参与主体地位不对等、“知情同意”模式失效等场景特征,以“卡—梅框架”理论为指导,强调基于“数据与信息主体联系的强弱”,设置类别化的数据治理规则。具体而言,对主体指向明确的车内数据沿用“知情同意”规则;对结果可能指向个人的其他数据采取默认授权模式,但需要以数据控制者对个人信息保护的强制性义务为前提;对车边环境数据,重点关注数据中的国家安全风险,严格执行数据境内储存、跨境流动审查和对外公开限制的要求。"/>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":["教育部哲学社会科学重大攻关项目“人工智能发展中的重大风险防范体系研究”(20JZD026)。"],"article":{"keywordList_cn":["数据治理","财产规则","责任规则","卡—梅框架"],"juan":"45","zhaiyao_cn":"智能驾驶数据是智能驾驶汽车运行过程中收集、使用的数据,包括车内数据、路边环境数据以及智能车联数据。这些数据无论是基于个人信息保护还是国家安全立场,都存在风险防范与治理的必要。但是,智能驾驶数据体量巨大、主体多元、涉及权益复杂,传统主体赋权路径难以明确数据权属及各方权利义务分配,数据隐私与数据公开的矛盾在智能驾驶领域表现得尤为突出。对此,智能驾驶数据的治理框架需基于参与主体地位不对等、“知情同意”模式失效等场景特征,以“卡—梅框架”理论为指导,强调基于“数据与信息主体联系的强弱”,设置类别化的数据治理规则。具体而言,对主体指向明确的车内数据沿用“知情同意”规则;对结果可能指向个人的其他数据采取默认授权模式,但需要以数据控制者对个人信息保护的强制性义务为前提;对车边环境数据,重点关注数据中的国家安全风险,严格执行数据境内储存、跨境流动审查和对外公开限制的要求。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6680","reference":"","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6680","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20211850","qi":"4","id":6680,"nian":2023,"bianHao":"1686302576581-1238485143","zuoZheEn_L":"YONG Chen","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2023","shouCiFaBuRiQi":"2023-06-09","qiShiYe":"62","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2023/V45/I4","lanMu_cn":"新型权利论坛","pdfSize":"689","zuoZhe_CN":"雍晨","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6680","title_cn":"智能驾驶数据治理框架研究","doi":"10.11778/j.jnxb.20211850","jieShuYe":"72","keywordList_en":["data governance","property rules","liability rules","the “Calabrese—Melamed” framework"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6680","zhaiyao_en":"The rapid development of intelligent driving industry has resulted in the threat of data security. 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来源：2023年第4期

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