AI Trust Glossary · Canonical Definition
AI Governance
Organizational frameworks, policies, and processes for ensuring AI is developed and deployed responsibly, fairly, and accountably.
Explanation
AI governance encompasses everything from internal review boards and deployment checklists to external audits, regulatory compliance programs, and published model documentation. Effective governance balances speed of innovation with structured risk management.
Why it matters
Without governance, AI deployment decisions are made informally, inconsistently, and often after the fact. Governance creates accountability before deployment, not just after something goes wrong.
How Borealis uses it
BorealisMark certification functions as an external governance layer. Organizations that certify their agents through Borealis have a documented, blockchain-anchored record of governance decisions that satisfies both internal audit requirements and the EU AI Act.
See also