Regulatory Frameworks
Understanding the EU AI Act and global standards.
Key Compliance Pillars
Focus areas for the Master Grade engineer:
• Transparency: Disclosing when AI is used in decision making.
• Accountability: Maintaining human-in-the-loop for critical operations.
• Data Privacy: Ensuring nDSG and GDPR compliance in training data.
Operationalizing Ethics
Implementing 'Compliance-as-Code':
1. Automated bias detection in outputs.
2. Version-controlled system prompts for auditing.
3. Explicit consent mechanisms for PII usage.
The Compliance Mirage
Compliance is not laudanum for security. A compliant system can still be vulnerable to prompt injection or data leakage.
Red-Teaming Checklist
Audit training data for PII leaks
Implement a 'Human-in-the-loop' override ✓
Map AI usage to EU AI Act risk categories
Establish an AI Ethics Board/Review process