Management on English AI Terms Dictionary

Model Registry

Sat, 18 Jul 2026 10:07:54 +0000

Definition

A Model Registry serves as a critical component in MLOps, providing a unified repository for storing, versioning, and managing ML models. It enables teams to track model metadata, performance metrics, and deployment status across different environments. By maintaining a clear lineage of model iterations, it facilitates reproducibility, collaboration, and governance. This tool ensures that only validated and approved models are promoted to production, reducing risks associated with model drift and ensuring compliance with organizational standards.

Governance

Sat, 18 Jul 2026 10:00:02 +0000

Definition

AI Governance refers to the set of rules, guidelines, and institutional structures that manage how artificial intelligence is created, used, and audited. It encompasses legal compliance, ethical considerations, risk management, and accountability measures to prevent bias, ensure transparency, and protect user privacy. Effective governance helps organizations align AI initiatives with societal values and regulatory requirements, fostering trust in automated decision-making processes.

Summary

The framework of policies, standards, and oversight mechanisms established to ensure AI systems are developed and deployed responsibly and ethically.

Policies

Sat, 18 Jul 2026 09:35:30 +0000

Definition

In the context of artificial intelligence and technology governance, policies refer to the formalized frameworks that dictate how AI systems should be developed, deployed, and monitored. These documents ensure ethical compliance, safety, and alignment with legal requirements. They cover areas such as data privacy, algorithmic fairness, security protocols, and accountability measures. Unlike technical models, policies are administrative and strategic instruments designed to manage risk and maintain trust among stakeholders and the public.