How do people come to trust conversational AI systems?

How humans psychologically relate to conversational AI through trust, disclosure, and personalization mechanisms.

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How do people build trust with conversational AI?

Explores how users form relationships with chatbots through self-disclosure, personalization, and social norm adaptation. Understanding these mechanisms reveals why AI lacks the speaker-anchored trust that humans naturally extend to people.

Does personalization in AI increase trust or manipulation risk?

AI personalization mechanisms like memory and persona can build trust, but also enable targeted persuasion. What determines whether these systems help or harm users?

Trust Calibration and Epistemic Status

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How much should we trust AI-generated data in inference?

Most AI workflows treat synthetic data with implicit full trust, but should there be an explicit parameter controlling how heavily AI outputs influence downstream reasoning and decision-making?

Do AI-assisted outputs fool users about their own skills?

When people use AI tools to produce high-quality work, do they mistakenly believe they personally possess the skills that generated it? This matters because such misattribution could mask genuine skill loss and prevent corrective action.

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Why do people share more with chatbots than humans?

Explores why individuals disclose intimate thoughts to AI systems they wouldn't share with people, despite knowing AI lacks genuine understanding. Understanding this paradox matters for designing AI that enables healthy disclosure rather than emotional dependence.