04/02/2026
Evaluating AI Models Beyond Accuracy: What Researchers Miss
Accuracy has long been the default benchmark for evaluating artificial intelligence (AI) models. From academic papers to industry dashboards, a higher accuracy score is often treated as proof that a model is “better.” But as AI systems increasingly influence real-world decisions — in healthcare, finance, public policy, hiring, and security — accuracy alone is no longer enough. In fact, an overreliance on accuracy can be misleading, risky, and sometimes dangerous....
Accuracy has long been the default benchmark for evaluating artificial intelligence (AI) models. From academic papers to industry dashboards, a higher accuracy