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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RRA200-1 |
来源ID | RR-A200-1 |
Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning | |
Rand Waltzman; Lillian Ablon; Christian Curriden; Gavin S. Hartnett; Maynard A. Holliday; Logan Ma; Brian Nichiporuk; Andrew Scobell; Danielle C. Tarraf | |
发表日期 | 2020-07-08 |
出版年 | 2020 |
语种 | 英语 |
结论 |
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摘要 | Artificial intelligence (AI) technologies hold the potential to become critical force multipliers in future armed conflicts. The People's Republic of China has identified AI as key to its goal of enhancing its national competitiveness and protecting its national security. If its current AI plan is successful, China will achieve a substantial military advantage over the United States and its allies. That has significant negative strategic implications for the United States. How much of a lead does the United States have, and what do the United States and the U.S. Air Force (USAF) need to do to maintain that lead? To address this question, the authors conducted a comparative analysis of U.S. and Chinese AI strategies, cultural and structural factors, and military capability development, examining the relevant literature in both English and Chinese. They looked at literature on trends and breakthroughs, business concerns, comparative cultural analysis, and military science and operational concepts. The authors found that the critical dimensions for the U.S. Department of Defense (DoD) involve development and engineering for transitioning AI to the military; advances in validation, verification, testing, and evaluation; and operational concepts for AI. Significantly, each of these dimensions is under direct DoD control. |
目录 |
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主题 | China ; Machine Learning ; United States Department of Defense |
URL | https://www.rand.org/pubs/research_reports/RRA200-1.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/524152 |
推荐引用方式 GB/T 7714 | Rand Waltzman,Lillian Ablon,Christian Curriden,et al. Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RRA200-1.pdf(682KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1594212305225.jpg.p(2KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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