With the increasing use of artifi cial intelligence technologies such as algorithms in labor management, the shortcomings in the protection of workers' personal information, in recent years, have become more prominent. The issue of personal information protection for workers is increasingly common in practice, with a growing number of related judicial cases. Through an analysis of judicial cases, it is found that the private law does not properly protect workers' personal information to the full extent. First, the principle of informed consent for workers is diffi cult to implement under the algorithmic black box. Second, workers fi nd it challenging to assert their personal information rights through contract review models. Due to the unequal nature of labor relations and the instrumental nature of personal information rights, it is necessary to introduce the public law to protect workers' right to informed consent. The protection of workers' personal information rights relies on administrative supervision centered around labor inspection departments, which is superior to the contract review conducted by the judiciary after the fact. Specifi cally, labor inspection departments should supervise employers' implementation of the principle of informed consent while dynamically adjusting the specifi c standards for implementing the principle based on technical criteria. Only when determining whether workers' personal information is reasonably protected in individual cases, classifi cation collection criteria should be used.