Glossary
15 articles in this category
AI Governance: The Operational Definition Your Org Needs
AI governance is not ethics rebranded. Learn the three pillars — policy, process, and technology — that turn principles into enforceable, measurable organizational practice.
AI Compliance: The Floor, Not the Ceiling
AI compliance is the minimum legal and regulatory bar your organization must clear. Learn about the regulatory patchwork, stacked enforcement risks, and why compliance alone is not enough.
AI Risk Assessment: Beyond the One-Time Checklist
AI risk assessment is a structured, continuous methodology — not a single questionnaire. Learn the NIST MAP approach, EU AI Act risk tiers, and why static assessments fail.
AI Audit: What Auditors Actually Look For
AI audits validate that your governance controls work in practice, not just on paper. Learn the three audit types, what evidence auditors expect, and how to prepare without panic.
Responsible AI: From Principles Posters to Operational Practice
Responsible AI fails when it stays aspirational. Learn how to move from principles to enforceable practices, why most RAI programs stall, and what operational maturity looks like.
AI Ethics: From Principles to Operational Practice
AI ethics alone won't protect your organization. Learn how ethics, compliance, and governance interact — and how to operationalize fairness beyond the board room.
AI Transparency: Disclosure, Explainability, and Trust
AI transparency and explainability are different requirements with different obligations. Learn what EU AI Act Article 13 and NIST AI RMF demand in practice.
AI Bias and Fairness: Metrics, Testing, and Regulation
AI bias isn't just a technical bug — it's a governance challenge. Learn the bias types, fairness metrics trade-offs, and regulatory requirements shaping practice.
Algorithmic Accountability: Who Answers When AI Fails
When an algorithm causes harm, who is responsible? Explore the accountability gap in AI systems, from NYC Local Law 144 to EU AI Act chain-of-responsibility.
AI Policy Management: The Connective Tissue of Governance
AI policies connect strategy to execution. Learn the essential policies every organization needs, the policy-standard-procedure hierarchy, and how to keep them alive.
AI System Inventory: Govern What You Can Find
You can't govern AI systems you don't know about. Learn what belongs in an AI inventory, EU AI Act Article 49 requirements, and how to tackle shadow AI.
Model Governance: Managing AI From Build to Retire
Model governance spans the full AI lifecycle — development, deployment, monitoring, retirement. Learn how SR 11-7 principles apply beyond banking to every org.
NIST AI RMF: The Framework That Quietly Became Standard
The NIST AI Risk Management Framework is voluntary but increasingly expected. Learn its four functions, why GOVERN is the most overlooked, and how it connects to other standards.
EU AI Act: What the First Global AI Law Means for You
The EU AI Act is the world's first comprehensive AI regulation, with extraterritorial reach and penalties up to EUR 35M. Here is what practitioners need to know now.
ISO 42001: The First Certifiable AI Management Standard
ISO/IEC 42001 is the world's first certifiable AI management system standard, built on the Annex SL structure familiar from ISO 27001. Here is what certification involves.