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AI Economist Agent Grounds Economic Analysis with LLMs and Knowledge Graphs

Researchers have developed an AI economist agent designed to ground economic analysis using large language models, knowledge graphs, and retrieval-augmented generation. This framework aims to ensure economic claims are supported by theory and data, rather than relying solely on LLM outputs. The AI economist agent has been evaluated in generating reports on U.S. inflation persistence and Federal Reserve policy, as well as in creating narratives for U.S. commercial real estate refinancing stress tests, demonstrating improved economic coherence and traceability. AI

影响 This framework could enhance the reliability and traceability of AI-generated economic analyses, making them more useful for policy and financial stress testing.

排序理由 The item is a research paper detailing a new framework for economic analysis using AI. [lever_c_demoted from research: ic=1 ai=1.0]

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AI Economist Agent Grounds Economic Analysis with LLMs and Knowledge Graphs

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Masahiro Kato ·

    AI经济学家代理:一个基于RAG、知识图谱和大型语言模型的模型驱动经济分析的代理框架

    We propose a model-grounded RAG-based AI economist with an agentic framework for economic scenario analysis using large language models (LLMs) and knowledge graphs. While LLMs can generate fluent economic narratives, economists are often required to make economic claims grounded …