Regulatory Framework for Algorithmic Black Boxes on Super Algorithm Platforms

超级算法平台算法黑箱的法律规制

With impact of the globalization, the influence of digital platforms is progressively broadening. At the same time, these platforms take management and control of data flow, content dissemination, and user interactions increasingly prominent through specific algorithm. However, the opacity surrounding the operational mechanisms of these algorithms has led to the emergence of the “algorithmic black box” phenomenon. This study deeply discuss an in-depth exploration of the platform algorithmic black box issue, with a particular emphasis on assessing its ramifications on user rights, market dynamics, and the legal and policy frameworks governing data. The study ultimately proposed several strategies to address the algorithmic black box problem and outlined potential future developments related to data laws and policies.

在全球化的背景下，数字平台的影响力正在持续地扩张。与此同时，这些平台通过算法来管理与控制数据流动、内容传递以及用户之间的互动，其能力愈发显著。然而这些算法在运行机制方面的隐秘性，导致了“算法黑箱”的现象的产生。本研究尝试深入探讨平台算法黑箱的问题，特别是评估这一现象对用户权益、市场运作，以及数据相关法律和政策框架所产生的影响。研究揭示了算法黑箱对多个层面的挑战，主要涉及数据安全、个人隐私保护以及市场竞争的公平性。此外，研究还指出了当前数据保护法律和政策在面对这些挑战时存在的不足和缺陷。研究最终提出了一些解决算法黑箱问题的策略，并且展望了未来与数据法律及政策相关的发展方向。