Abstract: The application of artificial intelligence algorithm technology in government governance practices has led to the emergence of a new governance form known as “algorithmic governance”. This study argues that algorithmic governance rests on “algorithmic rationality” and “algocracy”, yet faces paradoxes of uncertainty, value trade-offs, self-fulfilling prophecy, and de-politicization. These paradoxes generate deep algorithmic risks and undermine its legitimacy. To address these challenges, the paper calls for a reconstruction of its logical presuppositions and a paradigm shift: reestablishing its rational basis in the context of uncertainty, advancing the re-politicization and political control of algorithmic systems, and orienting algorithm design toward the public good.

Key Words: Algorithmic governance; Algorithmic risks; Logical presuppositions; Paradoxes

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