AI Governance & Policy Framework
EU AI Act compliance, risk management and regulatory framework.
Responsible: DigitalImpact GPT Ltd. — AI Governance Board
Review: Quarterly, or immediately upon regulatory change.
1. Regulatory Background
The AION Core platform complies with the following regulatory frameworks:
EU AI Act (2024/1689)
EU Parliament and Council regulation on harmonized rules for artificial intelligence.
- Risk-based classification system
- Transparency requirements
- Human oversight assurance
- Documentation obligations
ISO/IEC 42001:2023
AI Management System standard — governance framework for AI systems.
- AI lifecycle management
- Risk assessment processes
- Continuous improvement cycle (PDCA)
- Stakeholder engagement
GDPR (2016/679)
General Data Protection Regulation — personal data protection.
- Data minimization principle
- Purpose limitation
- Data subject rights
- Data Protection Impact Assessment (DPIA)
NIS2 Directive
Network and information systems security directive.
- Cybersecurity risk management
- Incident reporting obligations
- Supply chain security
- Management accountability
2. AI Risk Classification
Risk levels per EU AI Act and AION Core module classification:
3. Governance Structure
AI Governance Board
Strategic direction, policy approval
AI Ethics Officer
Ethics review, bias monitoring
DPO (Data Protection Officer)
GDPR compliance, DPIA coordination
CISO
Security architecture, incident management
AI Audit Team
Regular compliance audits
Model Risk Management
Model validation and monitoring
4. AI System Registry
AI system registry per EU AI Act Article 49:
5. Ethical Principles
Fairness & Non-discrimination
AI decisions are free from discriminatory bias. Regular bias audits and fairness metrics applied.
Transparency & Explainability
Every AI decision is traceable. Explainability modules ensure human-interpretable decision logic.
Human Oversight
Human-in-the-loop and human-on-the-loop mechanisms at every critical decision point.
Sustainability
Energy-efficient model architecture, carbon footprint monitoring, optimized inference pipeline.