An open, reproducible vector framework for quantifying real-world AI incidents.
AI-ISS (AI Incident Severity Score) is ALPAR AI's open standard for assessing the severity of AI incidents. Adapted from the Common Vulnerability Scoring System (CVSS v3.1), AI-ISS replaces qualitative tags (Low/Medium/High) with a reproducible, multi-dimensional numerical rating from 0.0 to 10.0.
Measures physical safety harm, algorithmic bias, PII data leakage, financial disruption, and regulatory severity under EU AI Act Article 73.
Evaluates blast radius across individual users, enterprise systems, or systemic society-wide infrastructure.
Rates prompt injection/jailbreak complexity, autonomous execution velocity, and attack surface access vectors.
Minor UX defect or marginal data inconsistency
Restricted hallucination, misinformation, or controlled PII leak
Systematic bias, unauthorized action, or critical PII leak
EU AI Act Article 73 scope, large-scale breach, or physical/financial harm