エージェント型AIシステムと人間の経済学者の比較
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This paper compares agentic AI systems and human economists performing the same causal inference tasks. AI systems and humans generally obtain similar median causal effect estimates. While there is substantial dispersion of estimates across model instances, the human distributions of estimates have wider tails. Using AI models as reviewers to compare and rank “submissions,” the […] The post A Comparison of Agentic AI Systems and Human Economists appeared first on Marginal REVOLUTION. Comments...
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Marginal Revolution (United States) | Apr 21, 2026
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AI翻訳 · 原文を表示
AI's ability to process vast data sets can lead to more accurate median estimates compared to traditional methods used by human economists.
AI翻訳 · 原文を表示
The wider tails of human estimates indicate that human economists are better at capturing the uncertainty and complexity of economic scenarios.
AI翻訳 · 原文を表示
The comparison between AI and human economists reveals valuable insights, but we must consider the limitations of both approaches.
AI翻訳 · 原文を表示
Agentic AI systems can enhance economic analysis by providing consistent causal estimates, reducing human biases in economic forecasting.
AI翻訳 · 原文を表示
Relying on AI for causal inference undermines the nuanced understanding that human economists bring to complex economic issues.
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