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Human Information Interaction, Artificial Intelligence, and Errors

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Autonomy and Artificial Intelligence: A Threat or Savior?

Abstract

In a time of pervasive and increasingly transparent computing, humans will interact more with information objects, and less with the computing devices that define them. Artificial Intelligence (AI) will be the proxy for humans’ interaction with information. Because interaction creates opportunities for error, the trend towards AI-augmented human information interaction (HII) will mandate an increased emphasis on cognition-oriented information science research, and new ways of thinking about errors and error handling. In this chapter, a review of HII and its relationship to AI is presented, with a focus on errors in this context.

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Notes

  1. 1.

    The Small Message Criterion is a metric used in measurements of channel capacity that indicates a degree of trade-off between lower channel capacity and channel performance.

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Authors and Affiliations

  1. U.S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, MD, USA

    Stephen Russell & Adrienne Raglin

  2. Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC, USA

    Ira S. Moskowitz

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  1. Paine College, Augusta, Georgia, USA

    W.F. Lawless

  2. Naval Research Laboratory, Washington, District of Columbia, USA

    Ranjeev Mittu

  3. Naval Research Laboratory, Washington, District of Columbia, USA

    Donald Sofge

  4. U.S. Army Research Laboratory, Adelphi, Maryland, USA

    Stephen Russell

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Russell, S., Moskowitz, I.S., Raglin, A. (2017). Human Information Interaction, Artificial Intelligence, and Errors. In: Lawless, W., Mittu, R., Sofge, D., Russell, S. (eds) Autonomy and Artificial Intelligence: A Threat or Savior?. Springer, Cham. https://doi.org/10.1007/978-3-319-59719-5_4

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