Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma

1. 1Identify the limitations of traditional model-centric AI evaluation approaches
2. 2Recognize the need for systematic evidence in real-world AI deployment
3. 3Apply FRAME to generate evidence that reflects the heterogeneity of real-world use
4. 4Use the evidence to inform decision-making and improve AI system development

Organizational leaders and decision-makers benefit from FRAME as it provides dependable evidence for high-stakes decisions about AI deployment, while data scientists and AI engineers can use FRAME to evaluate and improve their models

💡 Traditional AI evaluation approaches often obscure real-world behavioral variations, while FRAME provides systematic evidence to support informed decision-making

🤖 FRAME helps resolve the decision-maker's dilemma in AI evaluation