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Artificial Intelligence: Algorithms, Operational Environments and Hyperbole

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Technical Report,26 Jun 2017,24 May 2018

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US Army School for Advanced Military Studies Fort Leavenworth United States

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In the past two decades, artificial intelligence AI gained a lot of attention and inspired innovation across many fields of science. US military forecasters created numerous predictions of future operating environments with AI as a central feature. This paper reports on the historical trend of AI innovations leading to periods of high expectations for the emergence of a truly artificial general intelligence AGI. These inflated expectations of continued innovation outpaced actual capabilities leading to disillusionment. Artificial intelligence goes through cycles of new innovations, over expectations, and disillusionment followed by modest advancement. The cyclical nature of AI innovation follows cycles of extreme hyperbole which, in past cycles, resulted in a loss of funding and the slowing of future innovations. To avoid future disillusionment and loss of progress, seen in the cycle of hyperbole, leaders need a realistic understanding of machine learning technology and what it will mean for future AI development. This paper presents a functional framework for understanding artificial intelligences interaction with the operational environment.

Subject Categories:

  • Cybernetics

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