AI Governance
WDG's AI Governance framework promotes responsible AI development and usage. It focuses on human oversight, bias mitigation, transparency, security, privacy, and accountability.
This framework aligns with global standards while ensuring national sovereignty in AI development and deployment.
Core Principles
Human Oversight
Maintain human control over AI systems and their decisions.
Bias Mitigation
Address and minimize biases in data and algorithms.
Transparency and Explainability
Ensure AI systems are transparent and their decisions explainable.
Robustness and Security
Develop AI systems that are robust, secure, and resilient against attacks.
Privacy
Protect individual privacy in the collection, use, and storage of data for AI.
Accountability
Establish mechanisms for accountability in the development and deployment of AI.
Implementation Framework
AI System Assessment
Evaluate AI systems for compliance with ethical guidelines and risk assessment.
Performance Monitoring
Continuous monitoring of AI system performance and impact metrics.
Documentation Standards
Maintain comprehensive documentation of AI models and decision processes.
Governance Tools
AI Ethics Committee
Dedicated team overseeing AI development and deployment ethics.
Compliance Dashboard
Real-time monitoring of AI systems against WDG standards.
Technical Controls
Implementation of guardrails and safety measures in AI systems.
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