🧠 AI Ed Wiki

🏷️ Concept

Trust in AI

● high · created 2026-08-13 · updated 2026-08-13trust, ai-literacy, social-robots, human-robot-interaction, epistemic-trust, critical-thinking, ai-tutoring

Trust in AI — the willingness of learners and educators to rely on AI systems for learning, judgment, and decision-making. Trust is a precondition for effective use of AI in education, but it is a double-edged sword: appropriate trust enables productive engagement, while over-trust leads to Over Reliance and under-trust prevents beneficial use. Trust is shaped by the perceived competence, transparency, reliability, and benevolence of the AI system, and by contextual factors such as the task and the user's experience. It connects to Trust Calibration (matching trust to actual reliability) and epistemic trust (trust in AI as a source of knowledge).

Trust is central to how learners interact with AI — whether a tutoring chatbot, a social robot, or an automated feedback system. It is closely related to AI Literacy (understanding what to trust), Critical Thinking (evaluating AI output), and the design of responsible AI. In embodied contexts like Human Robot Interaction, trust is shaped by robot behaviour, task, and appearance.

How trust appears in the wiki's research

  • Trust in educational robots: Research on trust in educational HRI shows that task context shapes trust in social robots more than appearance, with the highest trust during instructional tasks — what a robot does matters more than what it looks like.
  • Epistemic trust in AI-mediated learning: Research on avatar identity examines how the perceived source of AI content shapes epistemic trust.
  • Calibration: Trust Calibration research examines how to help learners calibrate their trust to the actual reliability of AI systems, avoiding both over- and under-trust.
  • Trust in tutoring and feedback: Studies of AI Tutoring and AI feedback examine when learners appropriately trust (or question) AI-generated guidance and hallucinations.

    • Trust connects to AI Literacy, Critical Thinking, Trust Calibration, Over Reliance, epistemic trust, Social Robots, Human Robot Interaction, and Ethics. Building appropriate trust is a core goal of responsible AI design in education.

    Connected Concepts

  • Trust Calibration
  • AI Literacy
  • Critical Thinking
  • Over Reliance
  • Social Robots
  • Human Robot Interaction
  • Ethics
  • AI Tutoring

    • Connected Articles

  • Task Context Trust Educational Hri 2026 — Task Context and Trust in Educational HRI
  • Face Value How Avatar Identity Shapes Epistemic Trust In AI Mediated Learning — Avatar Identity and Epistemic Trust
  • White Wu Robotics AI Education 2026 — Robotics and AI in Education
  • Human Autonomy Agency Hri Review 2025 — Human Autonomy and Agency in HRI
  • Social Robot Study Companions — Social Robots as Study Companions