Abstract:

Within the political discourse system, the core concept of “people” is characterized by its abstractness and integrity. During governance, it is typical to identify distinct groups through their hierarchical categorization and unique traits. Given the heterogeneity of these groups, achieving people-centered governance necessitates a precise definition of the diverse needs of various population segments within a given context. As a governance model, “People-centered algorithms” aim to integrate the “people-centered” value concept into the process of algorithmic governance. By accurately identifying and prioritizing the needs of diverse population segments, responses become timely and effective. The “People-centered algorithms” can be further subdivided into three primary categories: demand analysis, conflict resolution, and decision-making. These dimensions establish a precise connection between people's needs and policy provisions that construct a scientific and democratic governance framework. To incorporate the concept and model of “People-centered algorithms” into the Chinese path to modernization governance, attention must be paid to various population segments, including minorities, vulnerable participants, workers, representatives, and individuals. Adopting this approach ensures the achievement of people-centered, intelligent governance, and good governance.

Key words: people-centered algorithms, people-centered, people's groups, public governance