HSRI

Human Superintelligence Readiness Index
Benchmark Scope 39/195 (86 unrated)
Benchmark Mean 53.8 / 100
Data Completeness 96.5% (Harmonized)
Index Status Preview Release
Preview Benchmark Status: This is an early-stage exploratory index — not a validated index. 39 of 195 nations receive preliminary ratings in this release; 86 evaluated countries currently lack sufficient multi-pillar data and remain unrated. See coverage details → Indicator completeness has not yet been verified from primary microdata.Report data issues on GitHub →

Methodology & Framework

Exploratory framework, indicator codebook, and statistical diagnostics for the HSRI Benchmark Preview (v0.2)

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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.

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Empirical Rigor

Built from 780 empirical observations harmonized across the OECD, World Bank, ITU, UN, and academic repositories.

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Standardized Z-Scores

Outlier-winsorized normalization preserves cross-national distribution geometry without distorting frontier performance.

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Pace-Adaptive Horizons

Calculates dynamic crossing years across three capability scenarios (Takeoff, Steady Progress, Plateau).

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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.

Behavioral Experiment Pipeline

HSRI's Phase 2 research roadmap targets direct behavioral measurement of human discernment under AI automation pressure. Current status:

ExperimentDomainStatusPilot D
EXP-01Legal — Fluent Hallucination DetectionSYNTHETIC PILOT COMPLETE: IRB PACKAGE READY0.72–0.84
EXP-02Medical — Fluent Hallucination DetectionSYNTHETIC PILOT COMPLETE: STIMULI CLEARED FOR IRB SUBMISSION0.61–0.87
EXP-03Technical/Code — Fluent Hallucination Detection (5 stimuli)SYNTHETIC PILOT COMPLETE: STIMULI CLEARED FOR IRB PACKAGING0.67–1.00
EXP-04 through EXP-09VariousQUEUED—

⚠️ No stimuli have been deployed to human participants. All experiments are under IRB gate. EXP-01 package is ready for institutional submission.View experiment repository →

How to Cite HSRI

HSRI Research Team. (2026). Human Superintelligence Readiness Index (v0.2 Preview). Exploratory benchmark dataset and methodology. https://humanreadinessindex.org/

BibTeX:

@misc{hsri2026,
  author = {{HSRI Research Team}},
  title  = {Human Superintelligence Readiness Index (v0.2 Preview)},
  year   = {2026},
  url    = {https://humanreadinessindex.org/},
  note   = {Exploratory benchmark. Not yet psychometrically validated.
            Data and methodology: https://github.com/krish-rm/hsri-research}
}

Version History:

  • v0.2 (2026-09-27) — See CHANGELOG
  • v0.1 (2026-09-22) — Initial public preview