Forum AI provides expert-driven evaluation, validation, and training data for AI systems handling subjective, high-stakes topics. The next frontier of AI development can't be solved by technical teams making decisions in isolation or by scaling traditional data labeling. As AI systems become how millions get information on complex topics like politics, foreign affairs, and mental health—domains where judgment matters as much as facts—these systems need evaluation from experts who understand credibility, bias, and context. Forum AI has assembled the most politically and globally diverse expert network in AI and partnered with the most reputable institutions. Our peer-review system brings these experts together to evaluate AI outputs: when experts across different perspectives—political, clinical, regional—reach consensus on how models should handle high-stakes questions, that's the independent validation AI companies need. Our 'expert-in-the-loop' AI systems scale this judgment across thousands of evaluations, capturing nuanced factors like political bias, clinical appropriateness, tone, accuracy, and source credibility. We deploy experts on high-leverage work—creating benchmarks, reviewing evaluation results, and crafting recommendations—while our AI handles high-volume annotation. This provides a defensible methodology AI companies can use with regulators, policymakers, and the public.
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