AI Trust¶
Building trust in AI requires a holistic approach across the full AI lifecycle — from model evaluation and agent operations to real-time safeguards and regulatory compliance. These capabilities are powered by IBM watsonx governance and IBM watsonx orchestrate.
The AI Trust building blocks provide frameworks, production-ready code samples, and tools to help you build AI solutions that are reliable, transparent, and compliant. Whether you're evaluating GenAI models for quality and safety, testing AI agents before deployment, enforcing real-time guardrails in production, or mapping AI use cases to regulations — AI Trust has you covered.
Building Blocks¶
| Building Block | What It Does |
|---|---|
| Model Evaluation | Evaluate your AI and ML models for performance quality, fairness, reliability, drift, and bias |
| Agent Ops | Evaluate, observe, and optimize your AI agents throughout the lifecycle |
| Real-Time Guardrails | Enforce safety boundaries and operational constraints to keep AI applications within desired behavior in production |
| AI Compliance | Ensure your AI applications meet regulatory requirements and industry standards for responsible AI use |
Getting Started¶
- Choose the building block that matches your current need.
- Explore the assets folder in the repository for ready-to-use code samples and SDKs.
- Check bob-modes for AI-assisted evaluation workflows.
GitHub Repository