TY  - GEN
AB  - Advances 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.
AD  - United States Department of Navy
AD  - Herren Associates, Inc., US
AD  - Herren Associates, Inc., US
AD  - Herren Associates, Inc., US
AD  - Delta Resources, Inc., US
AU  - Sturtevant, G H
AU  - Voth, J M
AU  - Lowe, A M
AU  - Casasanto, N L
AU  - Kline, H A
DA  - 2019-07-03
ID  - 7551
JF  - Conference Proceedings of EAAW
KW  - Artificial Intelligence
KW  - Digital Systems Design
KW  - Total Ship Integration
L1  - https://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf
L2  - https://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf
L4  - https://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf
LK  - https://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf
N2  - Advances 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.
PY  - 2019-07-03
T1  - Putting Artificial Intelligence to Work: The Operator Decision Aid
TI  - Putting Artificial Intelligence to Work: The Operator Decision Aid
UR  - https://library.imarest.org/record/7551/files/EAAW%20VIII%20Paper%20005%20Lowe%20Final%20P.pdf
VL  - EAAW VIII
Y1  - 2019-07-03
ER  -