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