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AI Glossary

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

TL;DR

  • —The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.
  • —Understanding AI Governance is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI governance encompasses the rules, responsibilities, and mechanisms organizations use to ensure AI systems are developed and used responsibly. This includes defining acceptable use policies, implementing technical controls, establishing oversight committees, and maintaining compliance with regulations like the EU AI Act and NIST AI RMF.

Related Terms

AI Ethics

The principles and guidelines governing the responsible development and use of AI systems.

Responsible AI

An approach to AI development and deployment that prioritizes safety, fairness, transparency, and accountability.

Compliance Framework

A structured set of guidelines and controls that ensure AI systems meet regulatory and organizational requirements.

AI Audit

A systematic examination of AI system operations, decisions, and impacts for compliance and quality assurance.

Knowledge Hub

Glossary FAQs

AI Governance is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the framework of policies, processes, and controls that guide responsible ai development and usage within organizations.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize AI Governance through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like AI Ethics and Responsible AI.

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