R0043/2026-04-01/Q001/S03¶
WebSearch — Healthcare AI terminology for acquiescence, deference, and automation bias
Summary¶
| Field | Value |
|---|---|
| Source/Database | WebSearch |
| Query terms | healthcare AI clinical decision support automation bias acquiescence deference terminology |
| Filters | None |
| Results returned | 10 |
| Results selected | 2 |
| Results rejected | 8 |
Selected Results¶
| Result | Title | URL | Rationale |
|---|---|---|---|
| S03-R01 | Shoggoths, Sycophancy, Psychosis, Oh My - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC12626241/ | Cross-domain vocabulary mapping including psychology/psychiatry terms |
| S03-R02 | Automation complacency: risks of abdicating medical decision making - Springer | https://link.springer.com/article/10.1007/s43681-025-00825-2 | Healthcare-specific terminology for automation complacency |
Rejected Results¶
| Result | Title | URL | Rationale |
|---|---|---|---|
| S03-R03 | Bias in medical AI - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC11542778/ | Algorithmic bias focus, not agreement-seeking behavior |
| S03-R04 | AI-Driven Clinical Decision Support - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC11073764/ | General CDS overview |
| S03-R05 | AI in Clinical Decision Support - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC6697499/ | Evaluation challenges, not terminology |
| S03-R06 | Dialogical AI for Cognitive Bias Mitigation | https://www.mdpi.com/2076-3417/16/2/710 | Bias mitigation approach, not vocabulary |
| S03-R07 | Accessing AI for Clinical Decision-Making - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC8521931/ | Access patterns, not terminology |
| S03-R08 | AI algorithmic bias in healthcare - Paubox | https://www.paubox.com/blog/ai-algorithmic-bias-in-healthcare-decision-making | Blog; algorithmic bias not agreement-seeking |
| S03-R09 | AI in clinical decision support and prediction - Frontiers | https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1403047/full | Predictive modeling, not terminology |
| S03-R10 | Evaluating accountability in AI healthcare - PMC | https://pmc.ncbi.nlm.nih.gov/articles/PMC12235780/ | Accountability/transparency focus |
Notes¶
Healthcare domain uses "acquiescence" and "deference" as domain-specific terms for clinician over-acceptance of AI recommendations. Also borrows "automation bias" from human factors literature. The "acquiescence problem" where LLMs passively confirm clinician hypotheses is a distinctly healthcare framing.