TrustAI: An Expert-Based Methodology for Evaluating and Certifying the Trustworthiness of Artificial Intelligence Systems
inforesearchPeer-Reviewed
researchpolicy
Source: IEEE Xplore (Security & AI Journals)March 23, 2026
Summary
TrustAI is a methodology for evaluating whether AI systems are trustworthy, addressing the current lack of standard ways to certify AI reliability. The approach breaks down trust into high-level requirements (called pillars of trust) and then into specific questions that AI experts answer, using fuzzy logic (a technique for handling uncertain or imprecise information) to combine their judgments into a trust score and generate certificates for systems that meet standards.
Classification
Attack SophisticationModerate
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Original source: http://ieeexplore.ieee.org/document/11454681
First tracked: September 1, 2026 at 02:04 AM
Classified by LLM (prompt v3) · confidence: 85%