Evaluating AI’s Impact: Why We Can’t Afford to Wait

As artificial intelligence technologies revolutionize industries and transform daily life, experts urge a shift from model benchmarking to robust, real-world impact assessments. While organizations increasingly deploy AI—from healthcare to government services—basic evaluation protocols remain rare, leaving unanswered questions about true benefits and hidden risks. Researchers call for systematic, continuous studies, like randomized controlled trials, to measure how AI shapes user behaviors, institutional efficiency, and societal outcomes. Only through ongoing, dynamic evaluation can policymakers, businesses, and the public ensure AI’s promise does not come with unforeseen costs or inequalities, as advances outpace traditional oversight and policy frameworks.

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