Methodology Note
How BangladeshAI.org classifies claims, sources data, and maintains intellectual honesty when facts are uncertain.
Why We Publish Our Methodology
AI policy research is full of confident-sounding claims that collapse when you look for the source. "AI will eliminate X% of jobs" — which jobs? Which country? Which year? On what model? These questions matter enormously when the claims are being used to make national policy.
BangladeshAI.org distinguishes between three types of claims — verified facts, supported analysis, and planning projections — because conflating them is dishonest. Every piece of research we publish labels which type of claim each finding represents.
Three Claim Classification Types
Conservative (Verified Fact)
A claim directly sourced from a primary, independently verifiable dataset or official document. We can point you to the exact table, page, or dataset.
Examples
- Bangladesh scored 47.12/100 on the Oxford Insights Government AI Readiness Index 2024.
- Bangladesh ranks 80th of 188 countries.
- Government Readiness sub-score: 58.52/100.
Primary Sources Used
Oxford Insights GARI 2024, World Bank World Development Indicators, ITU Digital Development Dashboard, Bangladesh government official documents.
Moderate (Supported Analysis)
A claim derived through documented analytical reasoning from verified data. The underlying data is real; the interpretation adds one analytical step that is transparent and challengeable.
Examples
- Technology Sector is Bangladesh's most critical weakness (score: 26.26/100 — lowest of the three pillars).
- Bangladesh has an estimated 67 gaps across 15 AI readiness domains.
- India's AI readiness (62.81) is 15.69 points ahead of Bangladesh.
Primary Sources Used
Derived from Oxford Insights GARI 2024 methodology. Gap count based on our application of the 92-requirement framework to Bangladesh's documented capabilities.
Planning Hypothesis (Projection)
A forward-looking estimate or projection based on clearly stated assumptions and trends. These are explicitly labeled as projections — not facts. They are designed to inform planning, not to claim certainty.
Examples
- Bangladesh could achieve a score of 65+ by 2033 with targeted investment (BangladeshAI.org projection based on Vietnam and Rwanda trajectory analysis).
- AI disruption could displace 15–25% of Bangladesh's RMG workforce without reskilling (based on McKinsey Global Institute automation probability models applied to Bangladesh occupational data).
- $40–80M annual foreign AI subscription outflow (BangladeshAI.org estimate based on subscription pricing and estimated user count).
Primary Sources Used
McKinsey Global Institute Future of Work research, Oxford Insights trajectory models, BangladeshAI.org internal modelling (methodology available on request).
Primary Sources
Primary source for all AI readiness scores and country rankings.
Framework for AI governance assessment and policy recommendations.
GDP data, digital infrastructure metrics, education indicators.
Internet penetration, mobile connectivity, and ICT access data.
Smart Bangladesh Vision 2041, Digital Bangladesh policy documents, AI policy drafts.
Automation probability models and future of work research used for workforce displacement projections.
Corrections Policy
When we make errors — and we will — we correct them prominently and publicly. If you find an error in our research, please contact us. We will investigate within 48 hours and publish a correction if warranted.
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