Human Evaluation: Judging AI When Metrics Aren't Enough
Human evaluation is the ultimate reality check for AI, using people to judge qualities like fluency and coherence that automated scores can't capture. It's essential for tasks like summarization but is too slow and costly to use for everything.
Human evaluation is the ultimate reality check for AI, using human reviewers as the ground truth to judge qualities that automated scores often miss. People assess outputs for fluency, coherence, relevance, factual consistency, and fairness. While it's the gold standard for complex tasks like summarization, its main drawback is that it's time-consuming, expensive, and doesn't scale. For this reason, it's often used to create a smaller, high-quality dataset to validate faster, automated metrics.
Read the original → learn.microsoft.com
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