Australian AI Incident Database
Structured, searchable database of AU AI failures, algorithmic errors, and regulatory actions. Each incident cross-links to the architectural failure patterns on aipatterns.com.au.
29
Total incidents
16
Critical
5
Sectors affected
Multi-billion
Financial impact
Showing 2 of 2 incidents
Epic Sepsis Prediction Model Failed to Generalise, Missing Majority of Cases
Epic Systems / University of Michigan
A University of Michigan study found that Epic's commercially deployed Sepsis Prediction Model performed significantly worse than claimed when deployed in their health system. The model flagged only 7% of sepsis patients before clinical deterioration and generated so many false positives that clinicians began ignoring alerts.
IBM Watson for Oncology Recommended Unsafe Cancer Treatments
IBM Watson Health
Internal IBM documents leaked to STAT News revealed that IBM Watson for Oncology had recommended treatments that oncologists described as 'unsafe and incorrect'. The system generated advice based on hypothetical training cases rather than real patient data.