CIRCLE: A Framework for Evaluating AI from a Real-World Lens

1. 1Identify the six stages of the CIRCLE framework
2. 2Apply the framework to evaluate AI systems in deployment
3. 3Analyze the materialized outcomes of AI systems
4. 4Compare the results with model-centric performance metrics
5. 5Refine the AI system based on the evaluation findings
6. 6Integrate CIRCLE into the MLOps pipeline for continuous evaluation

Data scientists, AI engineers, and product managers can benefit from CIRCLE as it provides a systematic approach to evaluating AI systems in real-world scenarios, enabling informed decision-making

💡 CIRCLE bridges the reality gap between model-centric metrics and actual deployment outcomes, providing a more comprehensive understanding of AI system performance

🔍 Introducing CIRCLE, a framework for evaluating AI systems in the real world #AI #MLOps