The Tension and Approach Adjustment of Artificial Intelligence Justice from the Perspective of Structural Functionalism

Driven by the dual objectives of judicial modernization and justice, the evolution of AI in justice necessitates collaborative efforts between national entities and societal forces. On one hand, the development of artificial intelligent judicial systems relies on artificial intelligence technologies provided by scientific and technological enterprises. On the other hand, judicial fairness and justice remain central to the mission of judicial institutions. Artificial intelligence justice has demonstrated significant utility in enhancing trial efficiency and streamlining judicial processes. However, practical implementation faces challenges including judicial dependency on technology, erosion of judicial credibility through opaque algorithms, and the potential impact on due process from automated decision-making processes. A structural functionalism analysis highlights the embedding of digital power within judicial frameworks, the assimilation of algorithmic rules into legal norms, and the potential reduction of judicial subjectivity as key contributors to these challenges. In order to better leverage artificial intelligence to realize judicial justice and ensure the quality and efficiency of judicial trials. In the future, AI judicial systems should follow a people-centered values, reaffirm judicial subjectivity, and establish effective mechanisms for integrating technology with judicial processes. Timely mitigation of latent risks that could undermine judicial reform effectiveness is essential.