Exploring the Societal and Economic Impacts of Artificial Intelligence: A Scenario Generation Methodology
Abstract
This paper explores artificial intelligence's potential societal and economic impacts (AI) through generating scenarios that assess how AI may influence various sectors. We categorize and analyze key factors affecting AI's integration and adoption by applying an Impact-Uncertainty Matrix. A proposed methodology involves querying academic databases, identifying emerging trends and topics, and categorizing these into an impact uncertainty framework. The paper identifies critical areas where AI may bring significant change and outlines potential future scenarios based on these insights. This research aims to inform policymakers, industry leaders, and researchers on the strategic planning required to address the challenges and opportunities AI presents
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Cite
@article{arxiv.2504.01992,
title = {Exploring the Societal and Economic Impacts of Artificial Intelligence: A Scenario Generation Methodology},
author = {Carlos J. Costa and Joao Tiago Aparicio},
journal= {arXiv preprint arXiv:2504.01992},
year = {2025}
}
Comments
6 pages