算法控制下平台从业者个人信息保护的路径探索——以外卖骑手为例

Exploring the path of personal information protection of platform practitioners under algorithm control——Take the takeaway rider as an example

算法与大数据的深度融合导致平台从业者被过度数据化,使其陷入平台全面、实时且隐秘的算法控制中。平台算法控制以从业者个人信息转化而成的数据为主要媒介,在此过程中,平台从业者面临着知情同意规则失灵、个人信息权属不明以及监管规制缺位所带来的个人信息权益保护的现实困境。强化算法控制下从业者个人信息保护,应确立以比例原则为核心的个人信息处理机制,破解知情同意规则的适用局限;在明确个人信息权属基础上,构建以平台信义义务为核心的个人信息动态保护机制;建立公私协同规制机制,形成行政监管与平台自律双管齐下的约束模式。

The deep integration of algorithms and big data has led to platform practitioners being over-dataized, making them fall into the comprehensive, real-time and hidden algorithm control of the platform. In this process, platform algorithms control the data converted from practitioners’ personal information as the main medium, and in this process, platform practitioners face the practical dilemma of protecting personal information rights and interests brought about by the failure of informed consent rules, unclear ownership of personal information, and lack of regulatory regulations. Strengthen the protection of practitioners’ personal information under the control of algorithms, and establish a personal information processing mechanism with the principle of proportionality as the core, and crack the limitations of the application of informed consent rules;On the basis of clarifying the ownership of personal information, build a platform fiduciary duty protection mechanism for personal information as the core;Establish a public-private collaborative regulatory mechanism to form a two-pronged approach to administrative supervision and platform self-discipline Constraint mode.