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Public trust in artificial intelligence (AI) users is a new social phenomenon. Research shows people expect AI users to have ability, benevolence, and integrity, guiding future studies on AI trust.

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Area of Science:

  • Human-Computer Interaction
  • Social Psychology
  • Artificial Intelligence Ethics

Background:

  • Trust is critical in human-AI interactions.
  • Existing research focuses on user trust in AI tools, not AI users.
  • A new perspective views trust as a social phenomenon in relationships with AI users.

Purpose of the Study:

  • To introduce and define trust in AI users as an emerging social phenomenon.
  • To synthesize empirical evidence on perceived trustworthiness of AI users.
  • To identify future research directions for understanding trust in AI users.

Main Methods:

  • Literature synthesis of empirical evidence on perceived trustworthiness.
  • Conceptualization of trust in AI users within social relationships.
  • Identification of key dimensions: ability, benevolence, and integrity.

Main Results:

  • The public places trust in AI users, expecting them to possess ability, benevolence, and integrity.
  • Research on trust in AI users is nascent.
  • Trust in AI users is distinct from trust in AI technology itself.

Conclusions:

  • Examining trust in AI users is crucial for understanding the psychosocial outcomes of AI implementation.
  • Future research should explore contextual differences, psychological processes, and broader implications of trust in AI users.
  • This framework extends the understanding of trust beyond AI systems to the social dynamics involving AI users.