代理人工智能系统与人类经济学家的比较
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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's ability to process vast data sets can lead to more accurate median estimates compared to traditional methods used by human economists.
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The wider tails of human estimates indicate that human economists are better at capturing the uncertainty and complexity of economic scenarios.
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The comparison between AI and human economists reveals valuable insights, but we must consider the limitations of both approaches.
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Agentic AI systems can enhance economic analysis by providing consistent causal estimates, reducing human biases in economic forecasting.
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Relying on AI for causal inference undermines the nuanced understanding that human economists bring to complex economic issues.
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