R0044/2026-04-01/Q001/S03
WebSearch — Sector-specific AI requirements (healthcare/FDA, financial/FINRA, aviation/FAA)
Summary
| Field |
Value |
| Source/Database |
WebSearch |
| Query terms |
"FDA AI clinical decision support automation bias requirements" + "financial services AI regulatory requirements overreliance automation bias SEC FINRA" + "aviation FAA AI automation bias EASA machine learning certification requirements" |
| Filters |
None |
| Results returned |
30 |
| Results selected |
3 |
| Results rejected |
27 |
Selected Results
Rejected Results
| Result |
Title |
URL |
Rationale |
| S03-R04 |
Various FDA AI/ML device guides (6 results) |
Various |
Focus on data bias and model performance, not behavioral output constraints |
| S03-R05 |
Various financial regulatory articles (7 results) |
Various |
General AI procurement/governance; no system behavioral constraints |
| S03-R06 |
Various aviation AI articles (7 results) |
Various |
Certification process focus; no output behavioral constraints |
| S03-R07 |
GAO AI Financial Services Report |
https://www.gao.gov/assets/gao-25-107197.pdf |
Relevant but PDF inaccessible; key findings captured from search summary |
Notes
Sector-specific searches consistently confirmed the pattern: all four target sectors (defense via CaTE in Q004, healthcare via FDA, finance via FINRA, aviation via FAA/EASA) address automation bias through human oversight requirements, not through AI output behavioral constraints. The FDA search was most revealing — its January 2026 CDS guidance update actually relaxed a system-side mechanism (multiple alternatives requirement) while maintaining human-side requirements.