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作 者:吴弘[1] 赵畅 WU Hong;ZHAO Chang(School of Economic Law,East China University of Political Science and Law,Shanghai 201620,China)
出 处:《求实》2025年第2期68-80,M0005,共14页Truth Seeking
摘 要:“数据+算法”的社会驱动模式进一步打破了数据、信息与隐私之间的形态界限,促使隐私开始呈现向数据和信息横向扩张的趋势,对个人隐私保护产生了诸多不确定性影响,并对现有基于赋权逻辑所制定的隐私法律制度提出了新的挑战,包括知情同意权的实效危机、删除权的技术缺陷等。数字时代,在面对关涉群体利益乃至社会公共利益的数字隐私侵害,以知情同意权和删除权为主导的权利型隐私保护路径已经在制度层面出现危机。对此,数字隐私保护有必要从赋权逻辑转向治理逻辑、从隐私控制主义转向算法训导主义,通过公权力介入处于不平等地位的数字平台及其用户之间,进一步探索“隐私增强技术”和算法还原的可行性及其有效进路,以强化数字时代隐私保护的制度回应。The social driving model of"data+algorithm"has further blurred the boundaries between data,information,and privacy,leading to a horizontal expansion of privacy to data and information.This trend creates uncertainties for personal privacy protection and poses new challenges to existing privacy legal frameworks rooted in the logic of empowerment,including the efficacy crisis of the right to informed consent and technical flaws in the right to erasure.In the digital age,as digital privacy violations increasingly implicate collective and social public interests,the rights-based privacy protection paradigm dominated by the right to informed consent and erasure faces institutional crisis.In response,digital privacy protection must shift from an empowerment logic to a governance logic and from privacy control to algorithmic discipline,and further explore the feasibility and paths of privacyenhancing technologies and algorithmic reduction through the intervention of public power in the unequal status of digital platforms and users,so as to strengthen the institutional response to privacy protection in the digital era.
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