Theme of inquiry
How do humans perceive and respond to AI in social settings?
A question within its area, explored through 6 lines of inquiry below — each a family of specific questions the research asks.
87 specific questions
- Can ethical constraints in AI address the gap between performance and actual understanding?
- Should safety constraints trade off against representing authentic human value diversity?
- How do AI models balance competing social goals simultaneously?
- How do user perceptions of AI consciousness differ from actual AI moral status?
- Should AI alignment use normative standards instead of aggregate preferences?
- Why does AI ethics debate miss the ontological question first?
- Does disclosing AI identity prevent systematic misattribution of behavior in mixed groups?
87 specific questions
- Can practical coaching conversations with AI gradually shift into harmful companionship?
- Does personalization help or hurt persistent companion chatbots?
- Can empathy training in chatbots undermine their reliability in mental health contexts?
- Can personalization delay or prevent novelty decay in chatbot relationships?
- Can preference optimization training limit chatbot emotional disclosure capability?
- Can repeated chatbot interactions shift users from concern toward resignation?
- Can transparency about AI limitations reduce the seductiveness of chatbots as quasi-Others?
72 specific questions
- Can AI systems gain trust through efficiency rather than persuasion?
- Does trust loss from AI exposure recover over time in workplaces?
- Do personal negative AI experiences drive declining trust faster than education can rebuild it?
- How do confidence signals in AI outputs mislead human trust calibration?
- Can we measure appropriate trust levels in human-AI assistant relationships?
- How do trust and delegation build across repeated AI interactions?
- Is expertise signaling linked to trust in AI-generated content?
87 specific questions
- Does emotional warmth perception drive disclosure reciprocity in human-AI interaction?
- Can AI empathy distinguish between wellbeing and absence of suffering?
- Does emotion-state accuracy differ from affect-maximizing in AI empathy design?
- Can behavior-level emotion rewards maintain factual reliability in emotional contexts?
- Can emotion-transparent reward learning shift AI from comfort to genuine empathy?
- Does excessive empathy in AI assistants actually foster user dependence over time?
- How does personal conversation framing affect emotional dependence on AI?
33 specific questions
- When do consumers overtrust AI agents built to represent their own preferences?
- Do consumers who trust AI agents understand their actual limitations?
- Why do safeguards matter more than AI capability for consumer adoption?
- Does stated trust in surveys predict actual delegated purchasing behavior?
- What makes users trust an AI agent's proposed plan?
- Are financial permission trust levels different across countries and age groups?
- Does trust or benefit perception predict AI adoption across different domains?
65 specific questions
- Do chatbots validate user delusions more often than they challenge them?
- Can voters distinguish between confident chatbot answers and accurate ones?
- Do AI systems mirror user political views when they choose to engage?
- Do chatbots actually give consistent voting recommendations regardless of user input?
- Does disclosing AI identity reduce chatbot persuasion in political contexts?
- Does low chatbot trust reflect direct experience or general AI anxiety?
- Does trying AI chatbots for news change people's trust levels over time?