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

By: Reva Schwartz, Gabriella Waters

Published: 2026-03-17

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Abstract

This paper introduces FRAME, a novel approach for real-world AI evaluation that generates systematic evidence to assist decision-makers in navigating the complexities of AI deployment, crucial for ensuring responsible and effective AI integration in practice.

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