AI System Regulatory Compliance Audit Process
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An AI System Regulatory Compliance Audit Process is a systematic regulatory compliance audit process that evaluates AI systems against regulatory requirements and compliance standards.
- AKA: AI Compliance Audit Process, Machine Learning System Compliance Audit, AI Regulatory Assessment Process.
- Context:
- It can typically assess GDPR Compliance for AI system personal data processing.
- It can typically evaluate CCPA Compliance regarding AI system consumer data rights.
- It can typically verify AI Act Compliance for high-risk AI systems.
- It can typically examine Algorithmic Accountability through AI system decision audits.
- It can typically review Data Protection Impact Assessments for AI system privacy risks.
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- It can often validate AI System Transparency Requirements via explainability assessments.
- It can often check AI System Bias Mitigation through fairness metric evaluations.
- It can often inspect AI System Security Controls against cybersecurity frameworks.
- It can often monitor AI System Data Retention Compliance with regulatory timelines.
- ...
- It can range from being a Basic AI System Regulatory Compliance Audit Process to being a Comprehensive AI System Regulatory Compliance Audit Process, depending on its regulatory coverage scope.
- It can range from being a Manual AI System Regulatory Compliance Audit Process to being an Automated AI System Regulatory Compliance Audit Process, depending on its audit automation level.
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- It can support AI System Data Governance Frameworks through compliance validation.
- It can inform AI System Risk Management Processes via compliance gap identification.
- It can integrate with SOC 2 Type II Compliance Frameworks for service provider audits.
- It can enable AI System Certification Processes through compliance verification.
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- Example(s):
- Counter-Example(s):
- General IT System Audit Process, which lacks AI-specific regulatory considerations.
- AI System Performance Audit, which focuses on technical metrics rather than regulatory compliance.
- Financial Statement Audit, which examines financial records rather than AI system compliance.
- See: AI System Data Governance Framework, GDPR Compliance Framework, AI Ethics Framework, Algorithmic Impact Assessment, AI System Certification Standard, Data Protection Impact Assessment Process, AI System Risk Assessment Framework.