analiza aiqbench

The article addresses the critical challenge of evaluating AI-generated research reports by shifting the concept of "ground truth" from static datasets to a dynamic verification process involving domain experts. This approach highlights that benchmarking complex, synthesized AI outputs requires specialized human auditing rather than simple automated fact-checking against fixed answers. Such methodological shifts are essential for developing robust evaluation systems capable of keeping pace with advanced search-augmented AI capabilities.