| 引用本文: | 吴集,梁江海,刘书雷.运用科学计量学的人工智能安全技术评估.[J].国防科技大学学报,2021,43(3):73-78.[点击复制] |
| WU Ji,LIANG Jianghai,LIU Shulei.Artificial intelligence security technology evaluation applying scientometrics[J].Journal of National University of Defense Technology,2021,43(3):73-78[点击复制] |
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| 运用科学计量学的人工智能安全技术评估 |
| 吴集,梁江海,刘书雷 |
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(国防科技大学 前沿交叉学科学院, 湖南 长沙 410073)
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| 摘要: |
| 面对智能化时代的巨大进步,人工智能安全逐渐成为备受关注的议题。以Web of Science数据库收录的核心论文为研究对象,运用科学计量学方法和可视化技术,对包括国家、机构在内的研究力量分布以及热点、前沿和所涉学科在内的主题内容进行分析和总结。针对潜在的人工智能安全议题,构建定性分析框架,对人工智能安全进行定性定量结合的分析,对人工智能安全技术发展进行初步探索与评估。 |
| 关键词: 人工智能 安全 科学计量 分析框架 |
| DOI：10.11887/j.cn.202103010 |
| 投稿日期：2019-11-04 |
| 基金项目:国家社会科学基金资助项目(2019-SKJJ-B-020) |
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| Artificial intelligence security technology evaluation applying scientometrics |
| WU Ji, LIANG Jianghai, LIU Shulei |
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(College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Artificial intelligence security is an important issue caused by rapid development of modern science and technology. Based on core papers obtatined from the Web of Science database, a scientometrics method and the visualized tool were used to explore the research distribution of countries, institutions, and research hot spots. A qualitative analysis framework was constructed for analyzing artificial intelligence security in integrated qualitative and quantitative perspectives. A preliminary exploration and evaluation of the development of artificial intelligence security technology was presented. |
| Keywords: artificial intelligence security scientometrics analysis framework |
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