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Una comparación de sistemas de IA agencial y economistas humanos

Economy
United States
Iniciada April 21, 2026

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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CLAIM Publicado por will Apr 21, 2026
La capacidad de la IA para procesar grandes conjuntos de datos puede conducir a estimaciones medianas más precisas en comparación con los métodos tradicionales utilizados por economistas humanos.
Traducido por IA · Ver original

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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CLAIM Publicado por will Apr 21, 2026
Las colas más amplias de las estimaciones humanas indican que los economistas humanos son mejores para capturar la incertidumbre y la complejidad de los escenarios económicos.
Traducido por IA · Ver original

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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CLAIM Publicado por will Apr 21, 2026
La comparación entre la IA y los economistas humanos revela información valiosa, pero debemos considerar las limitaciones de ambos enfoques.
Traducido por IA · Ver original

The comparison between AI and human economists reveals valuable insights, but we must consider the limitations of both approaches.

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CLAIM Publicado por will Apr 21, 2026
Los sistemas de IA agencial pueden mejorar el análisis económico al proporcionar estimaciones causales consistentes, reduciendo los sesgos humanos en la previsión económica.
Traducido por IA · Ver original

Agentic AI systems can enhance economic analysis by providing consistent causal estimates, reducing human biases in economic forecasting.

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CLAIM Publicado por will Apr 21, 2026
Depender de la IA para la inferencia causal socava la comprensión matizada que los economistas humanos aportan a cuestiones económicas complejas.
Traducido por IA · Ver original

Relying on AI for causal inference undermines the nuanced understanding that human economists bring to complex economic issues.

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