Knowledge Base
AI Governance Glossary
Authoritative definitions for AI governance, explainability, model observability, fairness, and compliance — the language of enterprise AI risk management.
8 terms defined6 categoriesUpdated May 2026
- AI Governance
- The frameworks, policies, and controls that ensure AI systems are safe, fair, transparent, and accountable.
- Bring Your Own Cloud (BYOC)
- A deployment model where the customer's own cloud infrastructure hosts the vendor's software, ensuring data and PII never leave the customer's private environment.
- Disparate Impact
- A legal and statistical concept measuring whether an AI system disproportionately harms a protected group, even without discriminatory intent.
- Explainable AI (XAI)
- AI methods and techniques that make the outputs of AI systems understandable to humans — including why a specific decision was made.
- Model Drift
- The degradation of a model's predictive performance over time as real-world data distributions shift away from training data.
- Population Stability Index (PSI)
- A statistical measure quantifying how much the distribution of a model's input scores has shifted between two time periods.
- RBI FREE-AI
- The Reserve Bank of India's framework for Fairness, Reliability, Explainability, and Ethics in AI — governing AI use by banks and NBFCs in India.
- Silent Logic Decay
- The gradual, undetected degradation of an AI model's decision logic as market conditions shift — without triggering traditional accuracy-based alerts.