Methodological Framework
The Human Superintelligence Readiness Index (HSRI) provides an empirical, cross-national benchmark measuring national preparedness for the deployment and impact of frontier artificial general intelligence and superintelligence. Grounded in quantitative social science and macroeconomic exposure modeling, HSRI assesses both institutional absorbers and societal buffers.
Empirical Rigor
Built from 780 empirical observations harmonized across the OECD, World Bank, ITU, UN, and academic repositories.
Standardized Z-Scores
Outlier-winsorized normalization preserves cross-national distribution geometry without distorting frontier performance.
Pace-Adaptive Horizons
Calculates dynamic crossing years across three capability scenarios (Takeoff, Steady Progress, Plateau).
Open Data & Replicability
Full pipeline code, normalization formulas, raw observations, and JSON/CSV artifacts are publicly available.
Key Architecture Pillars
- Equal 4-Pillar Baseline: AI Literacy (25%), Critical Discernment (25%), Institutional Governance (25%), and Digital Infrastructure (25%).
- Sensitivity Simulator: An interactive in-browser weight calculator allowing researchers to test alternative governance or infrastructure weightings.
- Macro Exposure Gap Modeling: Direct mathematical contrast between domestic preparedness and structural exposure to autonomous frontier AI.
- Labor Vulnerability Assessment: Sectoral dislocation modeling evaluating occupational transition risk and workforce absorption horizons.