Addressing Trust in AI Systems through Education: A Didactic Perspective (ICE-T)
Trust calibration as an explicit educational objective: representational richness, graduated process control (Use-Modify-Create), and capacity to contextualize errors are the teachable mechanisms behind appropriate reliance
Beyond Prompting
What the source reports
Trust calibration as an explicit educational objective: representational richness, graduated process control (Use-Modify-Create), and capacity to contextualize errors are the teachable mechanisms behind appropriate reliance
Original source
- Title
- Addressing Trust in AI Systems through Education: A Didactic Perspective (ICE-T)
- Author
- Haritz, Krone & Liebig
- Publication
- arXiv
- Date
- Wednesday, September 2, 2026