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Summary

Artificial intelligence (AI) cannot be trusted because it lacks emotions and accountability, challenging the concept of trustworthy AI. True trust requires human qualities, distinguishing reliance on AI from genuine interpersonal trust.

Keywords:
Artificial intelligence ethicsEuropean commission high-level expert groupPhilosophy of trustReliabilityTrustworthy AI

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Area of Science:

  • Philosophy of Technology
  • Artificial Intelligence Ethics
  • Human-Computer Interaction

Background:

  • Assessing artificial intelligence (AI) is complicated by human tendency to anthropomorphize.
  • Attributing human moral activities, such as trust, to AI is particularly problematic.
  • The European Commission's High-level Expert Group on AI (HLEG) advocates for trustworthy AI.

Purpose of the Study:

  • To critically examine the claim that artificial intelligence (AI) can be trusted.
  • To analyze AI's capacity for trust based on prevalent philosophical definitions.
  • To differentiate between genuine trust and reliance in the context of AI.

Main Methods:

  • Analysis of affective, normative, and rational accounts of trust.
  • Evaluation of AI's capabilities against the requirements of each trust account.
  • Philosophical argumentation regarding the nature of trust and responsibility.

Main Results:

  • AI lacks the emotive states and accountability required for affective and normative trust.
  • AI meets the criteria for the rational account of trust, but this constitutes reliance, not trust.
  • Viewing AI as trustworthy undermines human interpersonal trust and accountability.

Conclusions:

  • Artificial intelligence (AI) cannot be genuinely trusted based on established definitions.
  • The concept of 'trustworthy AI' is a misapplication of the term, conflating trust with reliance.
  • It is crucial to avoid anthropomorphizing AI and to maintain clear lines of responsibility for AI development and deployment.