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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RRA1498-1 |
来源ID | RR-A1498-1 |
Exploring the Civil-Military Divide over Artificial Intelligence | |
James Ryseff; Eric Landree; Noah Johnson; Bonnie Ghosh-Dastidar; Max Izenberg; Sydne Newberry; Christopher Ferris; Melissa A. Bradley | |
发表日期 | 2022-05-11 |
出版年 | 2022 |
语种 | 英语 |
结论 | An unbridgeable divide between Silicon Valley and DoD does not appear to exist
There is a meaningful difference in the comfort level for AI applications that involve the use of lethal force
Tech workers have low levels of trust in leaders—even their own
Tech workers are most concerned about cyber threats to the United States
Tech workers support the use of military force to defend against foreign aggression
Silicon Valley tech workers have little personal connection to the military
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摘要 | Artificial intelligence (AI) is anticipated to be a key capability for enabling the U.S. military to maintain its military dominance. The U.S. Department of Defense (DoD)'s engagement with leading high-tech private sector corporations, for which the military is a relatively small percentage of their customer base, provides a valuable conduit to cutting-edge AI-enabled capabilities and access to leading AI software developers and engineers. To assess the views of software engineers and other technical staff in the private sector about potential DoD applications of AI, a research team conducted a survey that presented a variety of scenarios describing how the U.S. military might employ AI and asked respondents to describe their comfort level with using AI in these ways. The scenarios varied several factors, including the degree of distance from the battlefield, the destructiveness of the action, and the degree of human oversight over the AI algorithm. The results from this survey found that most of the U.S. AI experts do not oppose the basic mission of DoD or the use of AI for many military applications. |
目录 |
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主题 | Autonomous Military Systems ; Machine Learning ; Military Information Technology Systems ; United States Department of Defense |
URL | https://www.rand.org/pubs/research_reports/RRA1498-1.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/524791 |
推荐引用方式 GB/T 7714 | James Ryseff,Eric Landree,Noah Johnson,et al. Exploring the Civil-Military Divide over Artificial Intelligence. 2022. |
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_RRA1498-1.pdf(1355KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1652281681779.jpg.p(3KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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