Putting Artificial Intelligence to Work: The Operator Decision Aid

  • Sturtevant G
  • Voth J
  • Lowe A
  • et al.
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Sturtevant, G. H., Voth, J. M., Lowe, A. M., Casasanto, N. L., & Kline, H. A. (2019). Putting Artificial Intelligence to Work: The Operator Decision Aid. In Proceedings of the Engine As A Weapon International Symposium (EAAW) (Vol. 1). IMarEST. https://doi.org/10.24868/issn.2515-8171.2019.005

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free