Economic Analysis in the Age of Artificial Intelligence: Enhancing Forecast Accuracy and Model Reliability

Authors

  • Philippe Frouté Université Paris-Est Créteil (UPEC)
  • Kurosh Madani University Paris-Est Créteil
  • Olivier Meier University Paris-Est Créteil

Keywords:

Artificial Intelligence, Economic Forecasting, Economic Modelling, Agent-Based Models, Fuzzy Logic, Neural Networks

Abstract

This article explores the impact of artificial intelligence (AI) on economic analysis, revisiting Lucas's critique through the lens of recent technological advancements. It highlights the contributions of machine learning-based models and bio-inspired approaches, while also addressing the limitations of current tools in terms of interpretability and applicability. By combining big data with innovative methods, AI helps to overcome traditional constraints, although it requires critical oversight to ensure the production of accurate and ethical economic forecasts.

Author Biographies

Philippe Frouté , Université Paris-Est Créteil (UPEC)

Associate Professor of Economics, researcher at Lipha Paris Est, Université Paris-Est Créteil (UPEC) he holds the French habilitation to supervise research (HDR).

He got his PhD in Economics from Université Paris 1 Panthéon-Sorbonne. He is currently Dean of AEI International School at Université Paris-Est Créteil (UPEC), where he has launched several innovative programs, particularly in International Business. He is also a researcher at Lipha.
His research focuses on law and economics as well as public finance. He also serves as co-editor-in-chief of the Journal International Transitions.

Kurosh Madani , University Paris-Est Créteil

Full Professor of Computer Engineering Researcher at LISSI (Images, Signals and Intelligent Systems lab), University Paris-Est Créteil

Kurosh Madani is a specialist in intelligent systems, complex behavior modeling, and cognitive robotics. He holds a PhD in Science (1990) and a Habilitation to Supervise Research (1995). He is the co-founder of the LISSI laboratory (EA 3956), where he serves as Deputy Director and Head of the SYNAPSE research team. Author of over 350 publications, he has been regularly invited as a keynote speaker at international conferences. His research focuses on artificial consciousness, self-organizing and cognitive systems. He is an elected member of two international scientific academies (International nformatization Academy and International Academy of Technological Cybernetics) and was named Chevalier in the French Ordre des Palmes Académiques for his academic and scientific achievements.

Olivier Meier , University Paris-Est Créteil

Full Professor of Management Sciences, researcher at Lipha Paris Est, University Paris-Est Créteil (UPEC)

Olivier Meier is a Distinguished University Professor and Director of the ASAP Observatory in collaboration with the Public Innovation Chair at Polytechnique-Sciences Po. He is also a board member of the IEP Fontainebleau and teaches strategy and management at University Paris Est, Paris Dauphine, and Sciences Po. As a Research Director at LIPHA Paris Est, Olivier Meier is also a member of the scientific committee of the «Prevention & Performance» Chair at CentraleSupélec.

Recognized for his expertise, he has been an elected member of the National Council of Universities (two terms) and appointed as an expert for HCERES and ANRT. He has authored over 70 articles and about thirty books. Olivier Meier has received several awards and distinctions, including from the Paris Dauphine Foundation and the Family Firm Institute (Best FBR Award, 2017). He was recognized as a «Top Cited Author» in 2022 by the Journal of Applied Social Psychology and his work was listed as «Top Read Article» by Harvard Business Review France.

Published

2025-12-23

How to Cite

Frouté , P. ., Madani , K. ., & Meier , O. . (2025). Economic Analysis in the Age of Artificial Intelligence: Enhancing Forecast Accuracy and Model Reliability. International Transitions, 3(1), 202 - 214. Retrieved from https://journaleska.com/index.php/rit/article/view/10699

Issue

Vol. 3 No. 1 (2025): Teaching Peace, Facing Resistance, Shaping Transitions

Section

Articles

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