论文标题

为空军美国部门制定一系列AI挑战

Developing a Series of AI Challenges for the United States Department of the Air Force

论文作者

Gadepally, Vijay, Angelides, Gregory, Barbu, Andrei, Bowne, Andrew, Brattain, Laura J., Broderick, Tamara, Cabrera, Armando, Carl, Glenn, Carter, Ronisha, Cha, Miriam, Cowen, Emilie, Cummings, Jesse, Freeman, Bill, Glass, James, Goldberg, Sam, Hamilton, Mark, Heldt, Thomas, Huang, Kuan Wei, Isola, Phillip, Katz, Boris, Koerner, Jamie, Lin, Yen-Chen, Mayo, David, McAlpin, Kyle, Perron, Taylor, Piou, Jean, Rao, Hrishikesh M., Reynolds, Hayley, Samuel, Kaira, Samsi, Siddharth, Schmidt, Morgan, Shing, Leslie, Simek, Olga, Swenson, Brandon, Sze, Vivienne, Taylor, Jonathan, Tylkin, Paul, Veillette, Mark, Weiss, Matthew L, Wollaber, Allan, Yuditskaya, Sophia, Kepner, Jeremy

论文摘要

通过一系列联邦倡议和命令,美国政府一直在努力确保美国在AI中的领导。这些广泛的战略文件影响了美国空军部(DAF)等组织。 DAF-MIT AI加速器是DAF与MIT之间的一项计划,以弥合AI研究人员与DAF任务要求之间的差距。 DAF-MIT AI加速器支持的几个项目正在开发公共挑战问题,这些问题解决了许多联邦AI研究的重点。这些挑战是通过公开可用的大型AI-Ready数据集,激励开源解决方案,并对可以激发进一步研究的双重使用技术创建需求信号来针对优先事项。在本文中,我们描述了正在开发的这些公共挑战以及它们的应用如何促进科学进步。

Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have influenced organizations such as the United States Department of the Air Force (DAF). The DAF-MIT AI Accelerator is an initiative between the DAF and MIT to bridge the gap between AI researchers and DAF mission requirements. Several projects supported by the DAF-MIT AI Accelerator are developing public challenge problems that address numerous Federal AI research priorities. These challenges target priorities by making large, AI-ready datasets publicly available, incentivizing open-source solutions, and creating a demand signal for dual use technologies that can stimulate further research. In this article, we describe these public challenges being developed and how their application contributes to scientific advances.

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