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Do We Collaborate With What We Design?

Katie D Evans1, Scott A Robbins2, Joanna J Bryson3

  • 1Josef Stefan Institute (IRCAI), Sorbonne University.

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|August 15, 2023
PubMed
Summary
This summary is machine-generated.

The terms "collaboration" and "co-workers" for human-artificial intelligence (AI) interactions are misleading. A new ontology of human-machine interaction is proposed, distinguishing between real peers and AI systems that are heteronomous to human agents.

Keywords:
Artificial intelligence ethicsHRIHuman–robot collaborationJoint actionMachine heteronomyRobot ethicsTransparency

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Area of Science:

  • Human-Computer Interaction
  • Sociology of Technology
  • AI Ethics

Background:

  • The increasing use of terms like "collaboration" and "co-workers" to describe human-AI interactions is prevalent.
  • The anthropomorphic framing of AI systems raises questions about its accuracy and implications for human dignity and transparency.

Purpose of the Study:

  • To critically assess the accuracy and desirability of using "collaboration" for human-AI interactions.
  • To propose an alternative ontology for human-machine interaction.
  • To explore the motivations and risks associated with the term "collaboration" in the context of AI.

Main Methods:

  • Conceptual analysis of collaboration and human-AI interaction.
  • Ontological critique of current human-machine interaction models.
  • Socio-political and ethical examination of AI in the workplace.

Main Results:

  • Current AI systems do not meet the ontological or socio-political criteria for true collaboration or co-working.
  • AI in the workplace functions as an extension of capital, owned and operated by employers, not as an equal labor partner.
  • The proposed heteronomy model positions AI as a tool subordinate to human agents' chosen ends.

Conclusions:

  • The term "collaboration" is an inaccurate and potentially harmful metaphor for human-AI interaction.
  • Distinguishing between real peers and AI systems is crucial for maintaining human dignity and transparency.
  • The continued use of anthropomorphic language risks obscuring the power dynamics and consequences of AI in the future of work.