AI Compliance & Regulatory Framework
Navigate the complex landscape of AI regulations, compliance requirements, and governance frameworks to ensure your AI systems meet legal and ethical standards.
- • EU AI Act
- • US AI Executive Order
- • UK AI Regulation
- • China AI Regulations
- • Healthcare (HIPAA)
- • Finance (SOX, PCI-DSS)
- • Government (FedRAMP)
- • Privacy (GDPR, CCPA)
- • Risk assessments
- • Impact analyses
- • Audit trails
- • Compliance reports
Key Regulatory Frameworks
The EU AI Act establishes a comprehensive regulatory framework based on risk levels, from minimal to unacceptable risk AI systems.
Unacceptable Risk
Prohibited AI systems including social scoring and real-time biometric identification
High Risk
Strict requirements for critical infrastructure, education, employment, and law enforcement
Limited Risk
Transparency obligations for chatbots and deepfakes
Minimal Risk
Voluntary codes of conduct and best practices
GDPR requirements for AI systems processing personal data, including rights to explanation and data minimization principles.
Key Requirements
- • Data minimization and purpose limitation
- • Right to explanation for automated decisions
- • Data protection impact assessments (DPIA)
- • Privacy by design and by default
- • Consent management for AI training data
Voluntary framework for managing AI risks across the AI lifecycle, from design to deployment and monitoring.
Framework Functions
Govern
Establish AI governance structures and policies
Map
Understand AI system context and risks
Measure
Assess and benchmark AI system performance
Manage
Prioritize and respond to AI risks
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