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

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 i...

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Bibliographic Details
Published in:arXiv.org 2022-07
Main Authors: Gadepally, Vijay, Angelides, Gregory, Barbu, Andrei, Bowne, Andrew, Brattain, Laura J, Broderick, Tamara, Cabrera, Armando, Glenn, Carl, Carter, Ronisha, Cha, Miriam, Cowen, Emilie, Cummings, Jesse, Freeman, Bill, Glass, James, Goldberg, Sam, Hamilton, Mark, Heldt, Thomas, Kuan Wei Huang, Isola, Phillip, Katz, Boris, Koerner, Jamie, Yen-Chen, Lin, Mayo, David, McAlpin, Kyle, Perron, Taylor, Piou, Jean, Rao, Hrishikesh M, Reynolds, Hayley, Kaira Samuel, 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
Format: Article
Language:English
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Summary: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.
ISSN:2331-8422