Abstract:In 2021, the National Internet Information Office and other relevant departments issued the “Regulations on the Management of Algorithm Recommendation in Internet Information,” which mandate that algorithm recommendation service providers possessing public opinion or social mobilization capabilities to file for record-keeping in accordance with legal requirements. This regulatory framework aims to innovate governance models, achieve “agile governance,” and balance algorithm security with innovation. However, there are numerous controversies regarding the legal nature of algorithm filing from an administrative perspective, which impede its effective implementation. Furthermore, ambiguities surrounding content boundaries and a lack of information disclosure mechanisms have raised further concerns. To tackle these challenges, it is imperative to elucidate the administrative factual attributes associated with algorithm filing and to standardize and improve definitions of content scope as well as information disclosure mechanisms. By undertaking this endeavor, the efficacy of the algorithm filing system in bolstering regulatory efficiency can be optimized, mitigating algorithmic risks, safeguarding citizens rights, and championing public interests. This will promote technology for good and ensure a harmonious coexistence between technological development and social welfare.