AI Practice
AI Practice
Section titled “AI Practice”Welcome to the AI Practice documentation. This section provides AI and machine learning standards, ethics, and implementation guidance for responsible AI deployment in government services.
Overview
Section titled “Overview”The AI Practice establishes frameworks for building and deploying AI systems that are ethical, transparent, and aligned with government objectives and citizen trust.
Key Areas
Section titled “Key Areas”- AI Ethics - Ethical principles and responsible AI frameworks
- Model Development - ML model training and evaluation practices
- AI Governance - Oversight, accountability, and risk management
- Model Operations - MLOps and model lifecycle management
- Explainability - Model interpretability and transparency
- Fairness & Bias - Detecting and mitigating algorithmic bias
Getting Started
Section titled “Getting Started”Documentation for the AI Practice is currently being migrated to this portal. Check back soon for comprehensive guidelines and resources.
Contributing
Section titled “Contributing”Content for this section is maintained by the AI Practice team. To contribute or suggest improvements, please contact the practice leads.