Artificial Intelligence Index Report 2024

人工智能AI指数2024年报告

Stanford Institute for Human-Centered Artificial Intelligence

人工智能研究所斯坦福大学

1.1 Publications

1.1 出版物

Overview 概述

The figures below PResent the global count of English- and Chinese-language AI publications from 2010 to 2022, categorized by tyPE of affiliation and cross-sector collaborations. Additionally, this section details publication data for AI journal articles and conference papers.

下面的数字显示了2010年至2022年全球英语和中国人工智能出版物的数量,从隶属关系和跨领域合作两个角度进行分类。此外,本节还详细介绍了人工智能期刊文章和会议论文的出版数据。

Total Number of AI Publications 出版物总量

Figure 1.1.1 displays the global count of AI publications. Between 2010 and 2022, the total number of AI publications nearly tripled, rising from approximately 88,000 in 2010 to more than 240,000 in 2022. The increase over the last year was a modest 1.1%.

图1.1.1显示了AI出版物的全球统计数量。从2010年到2022年,人工智能出版物的总数几乎翻了三倍,2010年的大约88,000篇文章增加到2022年的24,000篇。


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By Type of Publication 根据出版物的类型进行分类

Figure 1.1.2 illustrates the distribution of AI publication types globally over time. In 2022, there were roughly 230,000 AI journal articles compared to roughly 42,000 conference submissions. Since 2015, AI journal and conference publications have increased at comparable rates. In 2022, there were 2.6 times as many conference publications and 2.4 times as many journal publications as there were in 2015.

图1.1.2显示了AI出版物类型全球范围内时间分布。2022年,人工智能期刊文章约23万篇,会议论文约42000篇。自2015年以来,人工智能期刊和会议出版物迅速增长。2022年,会议出版物是2015年的2.6倍,期刊出版物是2015年的2.4倍。


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By Field of Study 按照研究领域进行分类

Figure 1.1.3 examines the total number of AI ublications by field of study since 2010. Machine learning publications have seen the most rapid growth over the past decade, increasing nearly sevenfold since 2015. Following machine learning, the most published AI fields in 2022 were computer vision (21,309 publications), pattern recognition (19,841), and process management (12,052).

图1.1.自2010年以来,3列按照研究领域划分人工智能出版物总数。学习机器出版物近十年来增长最快,自2015年以来增长了近7倍。继机器学习之后,计算机视觉(21,309篇)是2022年发布最多的人工智能领域。、模式识别(19,841篇)和流程管理(12,052篇)。


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By Sector 按行业分类

This section presents the distribution of AI publications by sector—education, government, industry, nonprofit, and other—globally and then specifically within the United States, China, and the European Union plus the United Kingdom. In 2022, the academic sector contributed the majority of AI publications (81.1%), maintaining its position as the leading global source of AI research over the past decade across all regions (Figure 1.1.4 and Figure 1.1.5). Industry participation is most significant in the United States, followed by the European Union plus the United Kingdom, and China (Figure 1.1.5).

本节介绍了教育、政府、行业、非营利组织和其他部门,尤其是美国、中国、欧盟和英国人工智能出版物在世界各地不同行业的分布。2022年,大多数人工智能出版物(81.1%)在学术领域得到了贡献。在过去的十年里,在所有地区的人工智能研究中,学术领域一直保持着领先地位(图1.1。.4和图1.1.5)。在美国,工业领域的参与度最为显著,其次是欧盟、英国和中国(图1.1).5)。


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