Monograph No. 3 · August 2026
The C2S Reliability Framework
Causal Artificial Intelligence and Institutional Decision Support in High-Consequence Domains
This monograph introduces a conceptual model in which causal artificial intelligence strengthens personnel reliability by supporting—not replacing—human institutional judgment. It proposes transparent evidence integration across complex behavioral, developmental, physiological, and operational information.
Online PDF · 14 pages · English
Suggested Citation
Gerardi, S. (2026). The C2S Reliability Framework: Causal Artificial Intelligence and Institutional Decision Support in High-Consequence Domains. Synergy Hall Research Series, Monograph No. 3. Washington, D.C.: Sheyene Gerardi Foundation.