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

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arxiv 2207.07033 v1 pith:CL2QYP72 submitted 2022-07-14 cs.AI cs.CY

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

classification cs.AI cs.CY
keywords challengesacceleratordaf-mitdepartmentdevelopingfederalforcemaking
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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