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AI Glossary

Compliance Framework

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

TL;DR

  • —A structured set of guidelines and controls that ensure AI systems meet regulatory and organizational requirements.
  • —Understanding Compliance Framework is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI compliance frameworks define the policies, procedures, and technical controls needed to meet regulatory requirements. Key frameworks include the EU AI Act, NIST AI Risk Management Framework, ISO 42001, SOC 2, GDPR, and HIPAA. Organizations must map their AI usage to applicable frameworks and implement appropriate controls.

Related Terms

AI Governance

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

AI Audit

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

Responsible AI

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

AI Ethics

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

Knowledge Hub

Glossary FAQs

Compliance Framework is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage a structured set of guidelines and controls that ensure ai systems meet regulatory and organizational requirements.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Compliance Framework 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 Governance and AI Audit.

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