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Master and Slave: the Dialectic of Human-Artificial Intelligence Engagement

Author

Listed:
  • Tae Wan Kim

    (Carnegie Mellon University)

  • Fabrizio Maimone

    (LUMSA University)

  • Katherina Pattit

    (University of St. Thomas)

  • Alejo José Sison

    (University of Navarre)

  • Benito Teehankee

    (De La Salle University)

Abstract

The massive introduction of artificial intelligence (AI) has triggered significant societal concerns, ranging from “technological unemployment” and the dominance of algorithms in the work place and in everyday life, among others. While AI is made by humans and is, therefore, dependent on the latter for its purpose, the increasing capabilities of AI to carry out productive activities for humans can lead the latter to unwitting slavish existence. This has become evident, for example, in the area of social media use, where AI programmers tie psychology and persuasion to the human social need for approval and validation in ways that few users can resist. We argue that AI should serve humans with humans as masters and not the other way around. Moreover, we propose that virtue ethics might play a role to solidify the human as master of AI and guard against the alternative of AI as the master.

Suggested Citation

  • Tae Wan Kim & Fabrizio Maimone & Katherina Pattit & Alejo José Sison & Benito Teehankee, 2021. "Master and Slave: the Dialectic of Human-Artificial Intelligence Engagement," Humanistic Management Journal, Springer, vol. 6(3), pages 355-371, December.
    • Handle: RePEc:spr:humman:v:6:y:2021:i:3:d:10.1007_s41463-021-00118-w
    DOI: 10.1007/s41463-021-00118-w
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    References listed on IDEAS

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