Authority Confidence Rating (ACR): A Cryptographic Standard for Real-Time AI Decision Authorization Verification and AI Liability Quantification

This paper introduces the Authority Confidence Rating (ACR), a cryptographic standard for quantifying AI decision authorization in real time. ACR measures the proportion of AI-influenced decisions that carried verifiable, cryptographically signed human authorization before execution. The standard defines a base formula (ACR = (V/D) × 100), a risk-weighted variant (ACR-W), four certification tiers (Platinum, Gold, Silver, Unrated), and a separate ACR-Zero designation for architectures where unauthorized execution is structurally impossible. Three application domains are identified: insurance underwriting, regulatory compliance under the EU AI Act and Product Liability Directive 2024/2853, and defense operations including real-time mission authorization monitoring. ACR is derived from cryptographic enforcement data, not from logs, surveys, or self-assessments. The framework is published under CC BY-NC-ND 4.0. Implementation of ACR computation using cryptographic authority enforcement may require licensing from YIN Technologies. This paper constitutes the first version of the ACR standard. An extended version introducing the Authority Confidence Deficit (ACD) and AI Liability Quantification (ALQ) constructs is published as a companion record. Implementation using cryptographic authority enforcement require licensing from the inventor. Licensing inquiries: ilyesmazari@hotmail.com