【英文】斯坦福报告：2023AI指数报告出炉：中国研究论文霸榜AI顶会（386页）

This section draws on data from the Center for Security and Emerging Technology (CSET) at Georgetown University. CSET maintains a  merged corpus of scholarly literature that includes Digital Science’s Dimensions, Clarivate’s Web of Science, Microsoft Academic Graph,  China National Knowledge Infrastructure, arXiv, and Papers With Code. In that corpus, CSET applied a classifer to identify Englishlanguage publications related to the development or application of AI and ML since 2010. 

For this year’s report, CSET also used select  Chinese AI keywords to identify Chinese-language AI papers; CSET did not deploy this method for previous iterations of the AI Index report.1 In last year’s edition of the report, publication trends were reported up to the year 2021. However, given that there is a signifcant lag in the  collection of publication metadata, and that in some cases it takes until the middle of any given year to fully capture the previous year’s  publications, in this year’s report, the AI Index team elected to examine publication trends only through 2021, which we, along with CSET,  are confdent yields a more fully representative report.