AWS Certified AI Practitioner AIF-C01 Practice Question

Human evaluation allows real people to judge nuanced, subjective aspects of a model's output-such as tone, helpfulness, or appropriateness-that automatic overlap-based metrics like BLEU, ROUGE, or BERTScore cannot fully capture. Automated metrics are fast and repeatable, but they focus on surface similarity to reference text and often correlate poorly with human perceptions of quality for conversational or creative tasks. Therefore, human review remains the best way to measure subjective response characteristics.