000007551 001__ 7551
000007551 005__ 20240318155451.0
000007551 02470 $$2doi$$a10.24868/issn.2515-8171.2019.005
000007551 035__ $$a3381155
000007551 037__ $$aGENERAL
000007551 245__ $$aPutting Artificial Intelligence to Work: The Operator Decision Aid
000007551 269__ $$a2019-07-03
000007551 336__ $$aConference Proceedings
000007551 520__ $$aAdvances in artificial intelligence and data analytics have unlocked new opportunities for progress in critical areas within the maritime domain. Over the past year, the U.S. Navy has initiated an Operator Decision Aid pilot project to apply rules-based navigation algorithms developed by the U.S. Defense Advanced Research Projects Agency (DARPA) and Office of Naval Research (ONR) to provide real-time recommendations to watch-standing teams on the Bridge and in the Combat Information Center. Recognizing the complexity inherent in the employment of artificial intelligence-based solutions, this paper will apply a multifactor framework developed by Crawford and Pollack (2004) to evaluate influential aspects of the project required to drive change, embrace complexity, and institute a culture of learning.
000007551 542__ $$fCC-BY-NC-ND-4.0
000007551 6531_ $$aArtificial Intelligence
000007551 6531_ $$aDigital Systems Design
000007551 6531_ $$aTotal Ship Integration
000007551 7001_ $$aSturtevant, G H$$uUnited States Department of Navy
000007551 7001_ $$aVoth, J M$$uHerren Associates, Inc., US
000007551 7001_ $$aLowe, A M$$uHerren Associates, Inc., US
000007551 7001_ $$aCasasanto, N L$$uHerren Associates, Inc., US
000007551 7001_ $$aKline, H A$$uDelta Resources, Inc., US
000007551 773__ $$tConference Proceedings of EAAW
000007551 773__ $$jEAAW VIII
000007551 789__ $$whttps://zenodo.org/record/3381155$$2URL$$eIsIdenticalTo
000007551 85641 $$uhttps://www.imarest.org/eaaw$$yConference website
000007551 8564_ $$9cc68ccbd-2ccb-427c-abed-5f406865e2a7$$s5109093$$uhttps://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf