Historical milestone · 2015
Algorithm aversion
Reviewed through September 18, 2026
2015 · Historical milestone
Algorithm aversion
- Era
- 2010s
- Theme
- Human–AI interaction & adoption
- Evidence form
- Controlled human experiments
- School / paradigm
- Behavioral decision research
- Institution / context
- University of Pennsylvania
- Researchers
- Berkeley Dietvorst; Joseph Simmons; Cade Massey
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Compared reliance on human and algorithmic forecasts before and after participants observed errors.
Result / historical claim. Participants could reject a better-performing algorithm after seeing it err, sharpening the study of calibrated reliance.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: Human–AI interaction and adoption.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Controlled human experiments
Limitation / debate. Laboratory forecasting tasks and framing choices limit generalization to high-stakes field settings.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is Human–AI interaction and adoption.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.