Trustworthy Artificial Intelligence for Social Governance
Zang Leizhen, Xiongwei Song, Yan Changwu · 中国社会科学：英文版 · 2024
As AI technology continues to evolve, it plays an increasingly significant role in everyday life and social governance. However, the frequent occurrence of issues such as algorithmic bias, privacy breaches, and data leaks has led to a crisis of trust in AI among the public, presenting numerous challenges to social governance. Establishing technical trust in AI, reducing uncertainties in AI development, and enhancing its effectiveness in social governance have become a consensus among policymakers and researchers. By comparing different types of AI, the paper proposes and conceptualizes the idea of trustworthy AI, then discusses its characteristics and its value and impact pathways in social governance. The analysis addresses how mismatches in technological trust can affect social stability and the advancement of AI strategies. The paper highlights the potential of trustworthy AI to improve the efficiency of social governance and solve complex social problems.