AI Governance Glossary

A reference for risk, compliance, and model teams navigating AI governance and model risk management.

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B

Bias Assessment and Mitigation (ISO/IEC TR 24027)

Bias Mitigation

Board Oversight

E

EU Database Registration

Effective Challenge

Enterprise-Wide Model Risk Framework

Environmental Impact

Equal Opportunity

Escalation Procedures

Ethical and Societal Considerations (ISO/IEC TR 24368)

Evaluation Harness

Evidence of Compliance

F

Fairness Metrics

Fairness-Accuracy Tradeoff

Feature Engineering

Feature Importance

Federated Learning

Findings Remediation

Fine-Tuning Modifications

Foundation Model Provider

Fourth-Party Risk

Fundamental Rights Impact Assessment

G

General-Purpose AI Code of Practice

General-Purpose AI Model

General-Purpose AI Model with Systemic Risk

Global Interpretability

Govern Function

Governing Body (ISO/IEC 38507)

Groundedness Evaluation

Guardrail Configuration

H

Harm Prevention

Harmonised Standards

High-Risk AI System

Holdout Testing

Homomorphic Encryption

Human Oversight

Human Review Gate

Human Rights Due Diligence

Human-Centric AI

Human-Cognitive Bias

Human-in-the-Loop

Hyperparameter Tuning

J

K

L

Leadership Commitment

Likelihood and Severity of Harm

Local Interpretability

M

Machine-Readable Marking

Manage Function

Management Review

Management System Audit

Market Surveillance Authority

Meaningful Human Control

Meaningful Information

Measure Function

Measurement Bias

Membership Inference

Metadata Management

Model Assumptions and Limitations

Model Calibration

Model Decommissioning

Model Deployment

Model Developer

Model Development

Model Documentation

Model Documentation Form

Model Extraction

Model Governance

Model Implementation

Model Inventory

Model Inversion

Model Limitations and Use Restrictions

Model Monitoring Plan

Model Performance Dashboard

Model Provenance

Model Provisioning

Model Recalibration

Model Repository

Model Risk Management Framework

Model Risk Manager

Model Risk Rating

Model Selection

Model Verification

Model Weights Protection

Model-Agnostic Explanation

N

NIST AI 100-2 (Adversarial ML Taxonomy)

NIST AI Risk Management Framework (AI RMF 1.0)

Nonconformity Log

Nonconformity Management

Nondiscrimination

O

OCC Bulletin 2011-12

Offline Test Set

Ongoing Monitoring

Ongoing Performance Monitoring

Open-Source Model Exemption

Operational Runbook

Out-of-Sample Testing

Out-of-Time Testing

Outcomes Analysis

Outsourced Models

Q

Quality Management System

T

Technical Documentation (Annex IV)

Third-Party Audit

Third-Party Validation

Threat Modeling

Three Lines of Defense

Traceability Matrix

Transparency and Explainability Principle

U

UNESCO Recommendation on the Ethics of Artificial Intelligence

Unacceptable Risk

Upstream Provider

V

Valid and Reliable

Validation Data

Validation Evidence

Validation Report

Value Alignment

Value Chain Actor

Vendor Due Diligence

Vendor Model Risk

Vendor Oversight

W