Abstract: Algorithmic management refers to the algorithmization of enterprise management practices, which is an innovation in enterprise management methods. However, due to the blind pursuit of profit by enterprises, algorithmic management has gradually become alienated as a tool to obtain benefits from platform workers. This alienation is manifested in the following ways. First, algorithmic management causes chaos in labor relations, and is used by platform companies to avoid employment responsibilities. Second, this management undermines the labor standards, resulting in the loss of basic labor protection for workers. Third, corporate rewards and punishments have become tools of exploitation, so workers are subject to rule violations. To address these problems, behavioral jurisprudence advocates that companies should use the algorithmic management model correctly through the incentive model of legal behaviors and the punishment model of illegal behaviors. Recommended measures include formulating compliance guidelines, introducing compliance incentives, and improving labor inspection and law enforcement mechanisms. These measures can not only improve the production efficiency of enterprises, but also prevent the loss of the legitimate rights and interests of platform practitioners.