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Area of Science:

  • Social psychology
  • Human-computer interaction
  • Artificial intelligence ethics

Background:

  • Artificial intelligence (AI) systems are increasingly assuming social roles.
  • Human relationships are governed by distinct cooperative norms.
  • The integration of AI into social roles challenges existing relational expectations.

Purpose of the Study:

  • To investigate how social AI influences cooperative expectations in human-human and human-AI relationships.
  • To explore whether people expect AI to follow human social norms.
  • To examine potential shifts in human-human relationship norms due to AI.

Main Methods:

  • Proposing an empirical framework to map distinctions in cooperative expectations across relationship types.
  • Analyzing data on people's relationship-specific cooperative expectations.
  • Considering the evolution of relational norms over time.

Main Results:

  • Anticipates a divergence in cooperative expectations between human-human and human-AI interactions.
  • Suggests data can inform ethical evaluations for AI design and human-AI interaction norms.
  • Highlights the potential for AI to influence or alter human relational dynamics.

Conclusions:

  • Understanding evolving cooperative expectations is crucial for social AI integration.
  • Empirical data on intuitive norms is essential for responsible AI development.
  • Research can forecast societal adaptation and potential resistance to AI in social roles.