Country AI Governance Scoring
Developed for
Compliance, risk, and product teams shipping AI under regional and EU-style AI governance
The challenge
- Country AI frameworks are dense and hard to map onto model behavior
- Vendors claim compliance without reproducible scoring
- Engineers need pip/npm-level tools, not only PDF checklists
The Solution
A governance scoring approach that evaluates LLM/RAG behavior against country rule packs and ships as packages teams can run in CI or Labs demos alongside ISO 42001 readiness work.
Key capabilities include:
- ◇ Country-oriented rule packs and scoring reports
- ◇ Developer packages for repeatable evaluation
- ◇ Complements ISO 42001 AIMS readiness interviews
Impact
Moves AI governance from slideware to measurable model and system checks.
Organization benefits:
- Faster gap analysis before audits
- Shared language between legal and engineering
- Reusable scoring in product release gates
Tags
Research Team
Meet Our PIs
Discover the principal investigator behind this project and the expertise that made it possible.
Hamza Salem
Head of PYXON Labs
Leads PYXON Labs research across Arabic AI, edge systems, governance, and applied products that ship into real environments.
// Open Vacancies
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Join our team working on Country AI Governance Scoring. Explore opportunities in machine learning, Arabic NLP, computer vision, edge systems, and applied AI research.
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