Systemic Trust in Artificial Intelligence
2.88T1.5 sourceErgonomics in Design (SAGE / HFES)
Source record
Published by Ergonomics in Design (SAGE / HFES) (T1.5 source). The original is at https://journals.sagepub.com/doi/abs/10.1177/10648046251366116?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAcademic article arguing that trust in AI is typically examined too narrowly, and proposing more naturalistic methods to study systemic trust as AI takes on high-consequence work. Published in Ergonomics in Design, Vol. 34, Issue 3.
Why it mattersReframes AI trust as a systemic, naturalistic study target rather than a narrow calibration problem. Useful framing for designers and researchers of agentic systems.
Cited by
No citations on record.