Paradigm Shift in Artificial Intelligence Governance:A Study Based on Policy Analy-sis and Topic Modeling
The paradigm of artificial intelligence(AI)governance has emerged as a guiding,normative,and systematic framework to address challenges in responsibility allocation,resource distribution,rule-making,and problem-solving in AI governance.By introducing the theory of paradigm shifts,this study posits that the progressive and dynamic nature of AI governance paradigms is rooted in the continuous emergence of challenges in AI development and the ongoing need for adjustments in governance orientations,stakeholders,and content.This paper conducts a quantitative analysis of AI policies released by major countries and international organizations,examining the temporal evolution of policy-issuing institutions and document types.Using BERTopic modeling,it identifies and summarizes the shifting focal points of AI governance across different stages.By deconstructing the transformative trends of the AI governance paradigm,this study sheds light on the inherent complexity of AI governance.
万方数据
维普
