AI Governance
Framework
AI governance is not just risk management; it's the foundation for trust, compliance, and maximizing AI value. We provide a comprehensive framework to help enterprises navigate AI responsibly.
Governance Principles
Our four core values
Responsible AI
Ensure AI systems are designed, developed, and deployed in accordance with ethical standards and social values.
Transparency
Clearly explain AI mechanisms, data sources, and decision logic to build trust.
Security
Strict security protection and privacy mechanisms to prevent data breaches and misuse.
Human-Centric
Focus on people, ensuring AI assists rather than replaces humans, and protecting user rights.
Framework Components
Four pillars of a complete governance system
Responsible AI β
Establish guidelines for responsible AI development and use
Human-AI RACI β
Clearly define collaborative roles and responsibilities
Fallback Design β
Safety fallback and handover processes when AI fails
Monitoring & Exit β
Continuous monitoring and exit mechanisms to ensure control
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