Gateway to Think Tanks
来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR2797 |
来源ID | RR-2797-RC |
Deterrence in the Age of Thinking Machines | |
Yuna Huh Wong; John Yurchak; Robert W. Button; Aaron B. Frank; Burgess Laird; Osonde A. Osoba; Randall Steeb; Benjamin N. Harris; Sebastian Joon Bae | |
发表日期 | 2020-01-27 |
出版年 | 2020 |
语种 | 英语 |
结论 | Insights from a wargame involving AI and autonomous systems
Implications for deterrence
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摘要 | The greater use of artificial intelligence (AI) and autonomous systems by the militaries of the world has the potential to affect deterrence strategies and escalation dynamics in crises and conflicts. Up until now, deterrence has involved humans trying to dissuade other humans from taking particular courses of action. What happens when the thinking and decision processes involved are no longer purely human? How might dynamics change when decisions and actions can be taken at machine speeds? How might AI and autonomy affect the ways that countries have developed to signal one another about the potential use of force? What are potential areas for miscalculation and unintended consequences, and unwanted escalation in particular? ,This exploratory report provides an initial examination of how AI and autonomous systems could affect deterrence and escalation in conventional crises and conflicts. Findings suggest that the machine decisionmaking can result in inadvertent escalation or altered deterrence dynamics, due to the speed of machine decisionmaking, the ways in which it differs from human understanding, the willingness of many countries to use autonomous systems, our relative inexperience with them, and continued developments of these capabilities. Current planning and development efforts have not kept pace with how to handle the potentially destabilizing or escalatory issues associated with these new technologies, and it is essential that planners and decisionmakers begin to think about these issues before fielded systems are engaged in conflict. |
目录 |
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主题 | Artificial Intelligence ; Military Information Technology Systems ; Military Strategy ; Military Tactics |
URL | https://www.rand.org/pubs/research_reports/RR2797.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/523994 |
推荐引用方式 GB/T 7714 | Yuna Huh Wong,John Yurchak,Robert W. Button,et al. Deterrence in the Age of Thinking Machines. 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_RR2797.pdf(763KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
1580134268319.jpg(7KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
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