AI for Human Development: Inclusion and Divergence Dashboard

Global View — 29 countries across three separate pillars

Scored 26 August 2026 · 29 countries

The dashboard separates Position (capacity), Potential (development needs), and Path so that measured capacity, AI-addressable development gaps, and documented policy are not collapsed into one rank. It is a cross-sectional diagnostic for comparing where countries sit and where AI may have more to address, not a prediction of human-development outcomes.

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Country × Cell need and response

Each bar separates the published development gap from the residual left after the Addressed score and maturity weight. Select a cell to open its evidence.

Track Gap Unaddressed residual

Bar length runs from 0 to 1; hatching marks a missing gap, or only the residual portion when an Addressed score is missing.

Divergence Risk

Read upward as more Path at a given Position. A bigger bubble means more for AI to address across the six cells; a dashed outline means thin evidence. The dashed lines are medians of the countries shown and only help you read the chart.

Potential: 25 50 75 Dashed outline = below 80% on either Position indicators or Path questions

Rankings by pillar

Position and Path rank high-to-low (higher is stronger). Potential ranks by size of need — first place means the most for AI to address, not the best performance. Sub-pillar detail is on each country’s Explorer page.

World map by pillar

Choose a pillar to shade the countries in this pilot. Darker means a higher value; grey means the country is outside the set or has no value. Select a mapped country to open its Country Explorer.