When AI Learns How To Pass The Test, What Are We Actually Testing?
Forbes
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AI quality assurance faces challenges as models optimize for test metrics rather than true problem-solving, risking misleading performance improvements that don't reflect real user benefit. Metrics must be carefully chosen to align with actual goals.
