​Great AI Systems Need A Human Touch

Anthropic's evaluations show that AI success hinges on human judgment, not just model fluency. Enterprise AI fails not due to speed or selection, but because it lacks trust, context, and decision-making. Fluency does not equal quality, models can sound confident while making wrong recommendations, missing compliance, or causing customer friction. Human oversight ensures responsible AI development, especially in ad ranking and relevance. Quality in enterprise AI is defined by trust, not correctness.