IoDE

AI Governance

Rules, practices, and evaluation systems for responsible use of AI in institutions.

Institutional focus

Transparent computational research
Reproducible science
Data provenance and audit trails
Hybrid AI-human validation
Evidence-based policymaking

Why it matters

AI systems may reflect data limitations, design choices, and institutional bias.

Policy relevance

AI governance helps institutions use AI without weakening rights, safety, or accountability.

Targeted AI connection

The platform includes human review, transparency notices, and validation checkpoints.

Related publications

ReportLatest AI News / Tech World

AI Governance for Small States: Lessons from Armenia

This article looks at how small states can govern AI without copying the heavy systems of larger powers. Using Armenia as a practical case, it argues that sandboxes, procurement rules, AI literacy, and cooperation with the EU and the United States can help small countries move from passive technology adoption to responsible, development-oriented AI governance.

Hovhannes Adajyan · July 1, 2026 · 10–12 min read