THE USE OF ARTIFICIAL INTELLIGENCE IN ANALYZING HISTORICAL DEMOGRAPHIC DATA

Fatma Amri; Rania Haddar

doi:10.31435/ijitss.1(45).2025.3456

Fatma Amri Principal Researcher. Dr., Associate Professor (Class B). Member of the Research Team: Youth, Family, and Reproductive Health. Laboratory: Population Strategy and Sustainable Development. University of Oran 2 Mohamed Ben Ahmed.
Rania Haddar Dr., Associate Professor (Class A). University of Algiers 3. Member of the Research Laboratory on Security in the Mediterranean Region, Hadj Lakhdar University of Batna.

DOI: https://doi.org/10.31435/ijitss.1(45).2025.3456

Keywords: Data, Population, Historical Era, Artificial Intelligence, Challenges

Abstract

This paper aims to highlight the most significant artificial intelligence technologies and tools employed in processing historical demographic data, and explores the primary challenges that arise after their implementation. Advanced AI technologies have revolutionized the analysis of historical demographic data and the prediction of future trends, what enhances our understanding of the past and addresses gaps in historical records. Nevertheless, several challenges emerge, including the accuracy of historical events that involve demographic, social, cultural, and economic aspects of populations and the various phases they have experienced, such as data distortion, bias, and ethical issues. These challenges may undermine the credibility of information for current or future generations and lead to decisions and predictions with substantial implications for social, health, and economic policies.

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