Mapping science in artificial intelligence policy development: formulation, trends, and influences

被引:1
|
作者
Cabral, Bernardo [1 ,2 ]
Salles-Filho, Sergio [1 ]
机构
[1] Univ Estadual Campinas, Dept Sci & Technol Policy, Rua Carlos Gomes, 250, BR-13083855 Campinas, SP, Brazil
[2] Univ Fed Bahia, Dept Econ, Praca Treze Maio n? 6-2? Andar Sala 206-Dois Julho, BR-40060300 Salvador, Bahia, Brazil
基金
巴西圣保罗研究基金会;
关键词
artificial intelligence; policy documents; Overton; bibliometrics; AI; DOCUMENTS; IMPACT;
D O I
10.1093/scipol/scae052
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research maps the evolution of artificial intelligence (AI) policy and its scientific underpinnings. First, we analyzed the global AI policy landscape using the Overton policy documents database, which comprises millions of policy documents. Findings reveal a substantial increase in AI policy documents since 2018, with the USA, European Union (EU), and intergovernmental organizations leading policy development efforts. We also analyzed the scientific articles referenced within these policies. The USA stood out as a central hub in the production and funding of AI research, with other Global North countries playing a notable role alongside China. The research cited in AI policy documents predominantly features journals with a high-impact factor, such as Nature and Science. This analysis aims to deepen the understanding of the AI policy landscape, offering insights for academics and policymakers and contributing to managing AI's global governance.
引用
收藏
页码:1104 / 1116
页数:13
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