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Beyond Artificial Intelligence pp 63–77Cite as

Heteronomous Humans and Autonomous Agents: Toward Artificial Relational Intelligence

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Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 9))

Abstract

The notion of “autonomy” is a central concept and a generative metaphor in many AI approaches and systems. It also embodies a tension that is inherent to a persistent and sustained trend in AI that can be called “autonomist AI,” whose objective is to build systems that are, on the one hand, complex and intelligent enough to initiate actions on their own, and, on the other, simple enough to be understandable and controllable by human beings. Tracing the origins of autonomist AI in some of the basic tenets of modernity, I show how the above tension is manifested in theories of affect, morality, and knowledge. I argue that these tensions arise largely because of adherence to a substantivist view, and propose a reversal to what I call Artificial Relational Intelligence.

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Author information

Authors and Affiliations

  1. School of Informatics and Computing, Indiana University, Bloomington, USA

    Hamid R. Ekbia

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  1. Hamid R. Ekbia
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Correspondence to Hamid R. Ekbia .

Editor information

Editors and Affiliations

  1. New Technologies Research Centre & Department of Cybernetics, University of West Bohemia, Plzen, Czech Republic

    Jan Romportl

  2. New Technologies Research Centre, University of West Bohemia, Plzen, Czech Republic

    Eva Zackova

  3. Institute of Computer Science, Silesian University, Opava, Czech Republic

    Jozef Kelemen

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Ekbia, H.R. (2015). Heteronomous Humans and Autonomous Agents: Toward Artificial Relational Intelligence. In: Romportl, J., Zackova, E., Kelemen, J. (eds) Beyond Artificial Intelligence. Topics in Intelligent Engineering and Informatics, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-09668-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-09668-1_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09667-4

  • Online ISBN: 978-3-319-09668-1

  • eBook Packages: EngineeringEngineering (R0)

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