How we calculate Trust Score
Model reliability scores are generated by combining automated empirical benchmark test suites (Truthfulness, Compliance, Safety) with multi-model cross-examination debate adjudication.
To prevent models with low sample counts from skewing rankings, a 95% confidence Wilson lower-bound interval is computed for statistical rigor.
Quantifies provider accountability dynamically: base 85 score, deducting 2.5 points per verified incident, and rewarding 4.0 points per published response.
85 - (2.5 × Olay) + (4 × Yanıt)Calibrated 85-point baseline for unflagged providers. Certified rebuttals restore up to +4 pts each.
Every algorithmic enhancement, supreme-court model update, and weight adjustment is logged openly with cryptographic integrity.
ALPAR AI bağımsız denetim altyapısını oluşturan açık kaynaklı alt standartlar.
CVSS-adapted deterministic standard for quantifying AI incident severity across impact, scope, exploitability, and AI context factors.
In-depth capability and vulnerability tests across 12 core intelligence and safety categories (K1-K12).
Technical parameters for TruthfulQA, IFEval, GSM8K, and Adversarial Red-Teaming suites.
A public log of methodology updates, retractions, and version changes.