Artificial Intelligence Accountability Based on Public Responsibility:Key Approaches and Implications in the United States
With the continuous improvement of the intelligence level of human society,the popularization,updating and iteration of artificial intelligence greatly improve its operation efficiency,but also bring new regulatory dilemmas and governance risks—how to ensure that the application of artificial intelligence system is traceable,responsible and fair,the current discussion on this issue in Chinese academia is still insufficient.The"Artificial Intelligence Regulatory Framework"oriented by public liability in U.S.A has played a positive role in promoting the more responsible use of AI systems in governance by various subjects and ensuring that AI governance is in line with the goal of public responsibility.This paper analyzes the basic concepts and key practices of the Framework,and discusses China's four aspects of realizing responsible AI governance,namely,constructing a governance framework to unify the basic regulatory process and governance structure;perfecting the digital talent team to enhance the professionalism and innovation capability of entities;preparing explanatory documents to enhance the interpretability and predictability of the system;and promoting hierarchical governance to make the boundaries of inclusive governance and prudential regulation clear.
artificial intelligencegovernment regulationpublic accountabilitykey practice
NETL
NSTL
万方数据
