Making AI Evaluation Deployment Relevant Through Context Specification

Current AI evaluation methods fail to capture operational realities affecting implementation success, making it difficult for decision-makers to assess whether AI tools will deliver sustainable value. Researchers introduce "context specification"—a process that translates diverse stakeholder perspectives into explicit, measurable constructs defining properties, behaviors, and outcomes.