R0044/2026-03-29/Q001/S02
WebSearch — FDA healthcare AI automation complacency and overtrust system requirements
Summary
| Field |
Value |
| Source/Database |
WebSearch |
| Query terms |
FDA healthcare AI "automation complacency" "overtrust" system requirements prevent agreeable output clinical decision support |
| Filters |
None |
| Results returned |
10 |
| Results selected |
2 |
| Results rejected |
8 |
Selected Results
| Result |
Title |
URL |
Rationale |
| S02-R01 |
Automation complacency: risks of abdicating medical decision making (Springer) |
https://link.springer.com/article/10.1007/s43681-025-00825-2 |
Directly addresses automation complacency in healthcare AI |
| S02-R02 |
Automation Complacency: Navigating Ethical Challenges (Columbia) |
https://sps.columbia.edu/news/automation-complacency-navigating-ethical-challenges-ai-healthcare |
Framework for mindful AI integration including system design |
Rejected Results
| Result |
Title |
URL |
Rationale |
| S02-R03 |
The illusion of safety: FDA AI approvals (PMC) |
https://pmc.ncbi.nlm.nih.gov/articles/PMC12140231/ |
Focuses on approval process, not system behavioral requirements |
| S02-R04 |
FDA Oversight: Understanding Regulation of Health AI (BPC) |
https://bipartisanpolicy.org/issue-brief/fda-oversight-understanding-the-regulation-of-health-ai-tools/ |
Policy overview, not specific requirements |
| S02-R05 |
AHA Letter to FDA on AI-enabled Devices |
https://www.aha.org/lettercomment/2025-12-01-aha-letter-fda-ai-enabled-medical-devices |
Industry comment letter, not requirements |
| S02-R06 |
FDA Oversight of AI Software (Epstein Becker) |
https://www.healthlawadvisor.com/fda-oversight-of-ai-software-developed-by-health-care-providers |
Legal analysis of regulatory scope, not specific to automation bias |
| S02-R07 |
FDA evolving framework for AI in trials (Hogan Lovells) |
https://www.hoganlovells.com/en/publications/fdas-evolving-regulatory-framework-for-ai-use-in-drug-device-clinical-trials-and-research |
Clinical trials focus, not deployment requirements |
| S02-R08 |
Agentic AI in healthcare (Oral Health Group) |
https://www.oralhealthgroup.com/features/agentic-ai-in-healthcare-autonomous-systems-transforming-clinical-practice-patient-safety-and-the-future-of-care-delivery/ |
Industry perspective on agentic AI, not regulatory requirements |
| S02-R09 |
FDA Eases Oversight for AI CDS Software (Orrick) |
https://www.orrick.com/en/Insights/2026/01/FDA-Eases-Oversight-for-AI-Enabled-Clinical-Decision-Support-Software-and-Wearables |
Describes FDA reducing oversight, opposite of what query seeks |
| S02-R10 |
FDA New Guidance Signals (OncoDaily) |
https://oncodaily.com/industry/fda-8 |
Brief commentary, not substantive requirements |
Notes
Healthcare regulation reveals a significant gap: the FDA's approach to clinical decision support increasingly exempts tools where clinicians can "independently assess" recommendations, creating a regulatory vacuum where automation bias is most likely to operate. The Columbia panel's "mindful integration" framework is the most concrete system design proposal found.