| Title | The ODNI-OUSD(I) Xpress Challenge: An Experimental Application of Artificial Intelligence Techniques to National Security Decision Support |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Isaacson, D. M. |
| Conference Name | 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) |
| Keywords | analytic product, artificial intelligence, artificial intelligence security, artificial intelligence techniques, composability, decision support, Decision support systems, Government, Human Behavior, integrated circuits, intelligence community, machine analytics, Metrics, National security, national security decision support, natural language processing, ODNI-OUSD(I) xpress challenge, policymakers, pubcrawl, public administration, public prize challenge, Resiliency, sensemaking, summarization, Task Analysis, Uncertainty, unstructured text, US Intelligence Community, warfighters |
| Abstract | Current methods for producing and disseminating analytic products contribute to the latency of relaying actionable information and analysis to the U.S. Intelligence Community's (IC's) principal customers, U.S. policymakers and warfighters. To circumvent these methods, which can often serve as a bottleneck, we report on the results of a public prize challenge that explored the potential for artificial intelligence techniques to generate useful analytic products. The challenge tasked solvers to develop algorithms capable of searching and processing nearly 15,000 unstructured text files into a 1-2 page analytic product without human intervention; these analytic products were subsequently evaluated and scored using established IC methodologies and criteria. Experimental results from this challenge demonstrate the promise for the ma-chine generation of analytic products to ensure that the IC warns and informs in a more timely fashion. |
| DOI | 10.1109/CCWC.2018.8301641 |
| Citation Key | isaacson_odni-ousdi_2018 |
The ODNI-OUSD(I) Xpress Challenge: An Experimental Application of Artificial Intelligence Techniques to National Security Decision Support