Rules, practices, and evaluation systems for responsible use of AI in institutions.
Institutional focus
AI systems may reflect data limitations, design choices, and institutional bias.
AI governance helps institutions use AI without weakening rights, safety, or accountability.
The platform includes human review, transparency notices, and validation checkpoints.
In a hospital corridor, across a border and at a kitchen table after loss, three fictional couples turn to AI when words fail them. Their stories illuminate what research and patents reveal about machine-generated empathy—and why comfort, privacy and genuine human connection must be considered together.
Hovhannes Adajyan · September 24, 2026 · 14 min read
This report explains why agentic finance requires a new authority layer for AI agents: identity, delegated authorization, bounded autonomy, auditability, evidence packs, finality receipts and safe synthetic-data pilots for small economies such as Armenia.
Hovhannes Adajyan · July 15, 2026 · 18 min read
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
This report examines the intersection of law, technology, and human rights, focusing on digital governance, artificial intelligence, agentic AI, GDPR, the EU AI Act, accountability, explainability, and Armenia's legal-tech opportunities.
Hovhannes Adajyan · June 12, 2026 · 12 min read