Output Integrity and Robustness

https://taxonomy.eticas.ai/risk/reliability-output-quality

Risks including hallucinations, output inconsistency, model drift, and out-of-distribution failures that undermine the dependability and trustworthiness of system outputs.

Mappings to external frameworks

Standards & frameworks

Framework Reference
AIUC-1 — AI Underwriting Company Standard Prevent hallucinated outputs
NIST AI 600-1 — Generative AI Risk Profile Confabulation
NIST AI Risk Management Framework (AI 100-1) Valid & Reliable

Taxonomies & vocabularies

Framework Reference
IBM AI Risk Atlas Output → Robustness