Artificial Intelligence (AI) can change the way of doing policy modelling

IF 3.5 2区 经济学 Q1 ECONOMICS
Mario Arturo Ruiz Estrada , Donghyun Park , Marcin Staniewski
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引用次数: 0

Abstract

This paper seeks to assess the transformative potential of Artificial Intelligence (AI) in policy modeling. Rapid advancements in AI, encompassing algorithms, advanced programming software, robotics, metadata, sophisticated mathematical models, neural networks, and graphical models are ushering in innovative new research methods for analysing and resolving intricate socio-economic issues. Our focus lies in a comparative evaluation of Artificial Intelligence Response (AIR) versus Human Intelligence Response (HIR) in generating swift and potent solutions to various socio-economic challenges. To achieve this, we propose a fundamental model for appraising the effectiveness of policy modeling, known as the "Policy Modeling Response Evaluator (PMR-Evaluator)." Furthermore, we conducted an experiment to gauge the responsiveness and effectiveness of both AIR and HIR. This experiment revolved around addressing a specific socio-economic problem, namely controlling inflation. Initially, we scrutinized responses from an extensive database of papers published in the Journal of Policy Modeling (JPM) by Elsevier over the past forty-five years (1978–2023) to ascertain HIR's capacity to analyze and resolve inflation-related issues. Concurrently, we utilized ChatGPT, a powerful artificial intelligence application (AI-APP), to explore potential solutions for controlling inflation. Ultimately, we analyzed whether HIR or AIR proved more effective and precise.

人工智能(AI)可以改变政策建模的方式
本文旨在评估人工智能(AI)在政策建模方面的变革潜力。人工智能的快速发展,包括算法、先进的编程软件、机器人、元数据、复杂的数学模型、神经网络和图形模型,为分析和解决复杂的社会经济问题带来了创新的研究方法。我们的重点在于人工智能响应(AIR)与人类智能响应(HIR)的比较评估,以产生针对各种社会经济挑战的快速有效的解决方案。为了实现这一目标,我们提出了一个评估政策建模有效性的基本模型,称为“政策建模响应评估器(PMR-Evaluator)”。此外,我们还进行了一项实验来衡量AIR和HIR的反应性和有效性。这个实验围绕着解决一个特定的社会经济问题,即控制通货膨胀。首先,我们仔细审查了爱思唯尔在过去45年(1978-2023年)发表在《政策建模杂志》(JPM)上的大量论文数据库中的回应,以确定HIR分析和解决通胀相关问题的能力。同时,我们利用强大的人工智能应用(AI-APP) ChatGPT,探索控制通货膨胀的潜在解决方案。最后,我们分析了HIR和AIR孰优孰劣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
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