The need for an empirical research program regarding human-AI relational norms
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View abstract on PubMed
Summary
This summary is machine-generated.People
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.
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