
Governance and Security Framework
Ensuring Responsible AI Implementation
Governance Structure
- Executive Sponsorship: C-level accountability for AI strategy
- Steering Committee: Cross-functional oversight and direction
- Center of Excellence: Expert resources and best practices
- Business Unit Owners: Domain-specific implementation and adoption
- User Advocates: Representation of end-user needs and concerns
Security Considerations
Authentication & Authorization
- Secure user identity verification
- Role-based access controls
- Permission inheritance from backend systems
Data Protection
- End-to-end encryption for messages
- Secure storage of conversation history
- PII/sensitive data handling protocols
- Compliance with regulatory requirements
AI-Specific Controls
- Content filtering for inappropriate requests
- Citation of information sources
- Confidence thresholds for automated actions
- Human approval for high-impact decisions
Audit & Monitoring
- Comprehensive logging of all interactions
- Pattern analysis for anomaly detection
- Regular security assessments and penetration testing
- Incident response procedures