Navigate the complex regulatory landscape governing AI systems across different jurisdictions.
## EU AI Act (2024)
### Risk-Based Classification ``` Prohibited AI (Banned): - Real-time biometric surveillance in public spaces - Social scoring by governments - Exploitative AI targeting vulnerable groups - Subliminal manipulation
High-Risk AI (Strict requirements): - Biometric identification systems - Critical infrastructure management - Educational assessment systems - Employment and HR decisions - Credit scoring and insurance - Law enforcement applications - Border control
Limited Risk (Transparency only): - Chatbots (must disclose AI nature) - Deepfake generation
Minimal Risk: - AI-enabled video games - Spam filters ```
### Compliance Requirements for High-Risk AI - Conformity assessment before market entry - Technical documentation package - Automatic logging of operations - Human oversight mechanisms - Accuracy, robustness, cybersecurity measures - Registration in EU database
## GDPR and AI
### Key Requirements for AI Systems 1. Lawful Basis: Document legal basis for processing 2. Data Minimization: Use only necessary personal data 3. Purpose Limitation: Don't repurpose data without consent 4. Accuracy: Maintain data quality for training datasets 5. Storage Limitation: Define and enforce retention periods 6. Right to Explanation: Explain AI decisions on request 7. Data Subject Rights: Support access, deletion, portability
### Article 22 - Automated Decision-Making - Right not to be subject to fully automated decisions - Exceptions: Contract performance, law, or explicit consent - Required: Human review option for significant decisions - Mandatory: Meaningful information about decision logic
## Global Regulations | Region | Key Regulation | Key Requirements | |--------|---------------|-----------------| | EU | AI Act + GDPR | Risk classification, transparency | | USA | State AI laws (CA, CO, etc.) | Bias audits, disclosures | | China | AI regulations | Algorithm registry, content rules | | Canada | AIDA (proposed) | High-impact AI oversight | | UK | AI framework | Principle-based approach |