Legal Regulation of Algorithmic Black Boxes in Digital Government Governance

The research in this paper focuses on the algorithmic black box problem in governmental algorithmic governance.It begins by advocating for the legal regulation of the algorithmic black box, exploring the balance of interests among the subjects and relationships affected by the algorithm, and aiming to identify a path toward improvement.This paper primarily presents three key arguments: the agnosticism of algorithms, the feasibility of algorithm interpretation, and algorithmic conflicts of interest.Starting from the existing legal rules and principles, and combining the elements of legislation, public participation, and responsibility attribution, we aim to incorporate principles, rules, and responsibilities into the examination of algorithmic black box issues within governmental governance.Our goal is to identify the specific regulatory approach for algorithmic black boxes through rules and value judgments.