User Study

An evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.

An evaluation method in which subject matter experts assess the quality, accuracy, safety, or effectiveness of an AI system, model, or output using their domain knowledge and established criteria.

An evaluation method where evaluators assess outputs without knowing which model, system, or approach produced them to reduce bias.

A testing process that verifies whether an AI system satisfies specified requirements and is ready for deployment or release.

An evaluation method that tests AI performance and behavior across realistic, multi-step scenarios or simulated environments.