Tingting Niu

Lanzhou University of Finance and Economics

Abstract：

With the rapid development of digital technology, platform economy has become an important component of the national economy, and algorithms, as the core driving force of platform economy operation, directly affect market order and the rights and interests of multiple parties in terms of fairness. Currently, algorithmic unfairness is frequent in the platform economy, such as traffic distribution discrimination in e- commerce platforms, credit discrimination in fintech platforms, and "big data killing" in travel platforms. These not only harm the interests of consumers and small and medium-sized businesses, but also constrain the healthy and sustainable development of the platform economy. The existing platform economy regulatory policies have insufficient adaptability in algorithmic fairness governance, manifested as policy updates lagging behind algorithmic iterations, regulatory measures difficult to match algorithmic technical characteristics, unclear division of responsibilities among multiple governance entities, which can easily lead to "excessive regulation" or "regulatory failure". This article takes algorithmic fairness as the core perspective, analyzes the root causes of inadequate regulatory policy adaptability by sorting out the application scenarios and fairness issues of algorithms in the platform economy, and proposes optimization paths from four dimensions: institutional, technological, collaborative, and self regulatory: improving the regulatory system for the entire lifecycle of algorithms, clarifying fairness standards and accountability mechanisms; Innovative technology adaptation tools such as "algorithm filing" and "sandbox supervision"; Building a collaborative regulatory system among government, platforms, and third-party institutions; Promote the establishment of an internal governance mechanism for algorithmic fairness on the platform, in order to provide theoretical reference and practical guidance for improving the efficiency of platform economic regulation and achieving a balance between algorithmic efficiency and fairness.

Key Words：

optimization; economy regulatory policies; algorithm fairness