A Cross-Disciplinary Analysis of Artificial Intelligence in Education, Law, Environment, Society and History from a Global Perspective
Artificial Intelligence (AI) is revolutionizing nearly every aspect of modern life, exerting profound influence on Education, Law, Environment, Society, and History. As AI-driven systems become more deeply integrated into the global economy and daily human experiences, it is essential to undertake a cross-disciplinary analysis of its impact. Understanding AI through a multi-faceted lens allows for a richer perspective on both its transformative potential and the challenges it poses in a globalized world. This research study, Cross-Disciplinary Analysis of Artificial Intelligence in Education, Law, Environment, Society, and History in Global Perspective, seeks to explore the intersections of AI with these critical fields. It highlights how AI is shaping education systems by enhancing learning processes, reshaping legal frameworks by prompting new regulations, influencing environmental strategies through predictive technologies, reconfiguring societal norms and structures, and altering our understanding of history through large-scale data analysis. The study brings together scholars, practitioners, and policymakers from diverse disciplines and geographies to investigate how AI impacts not just individual sectors, but the global system as a whole. By emphasizing the ethical, social, and historical dimensions of AI, this research seeks to build a comprehensive understanding of its role in contemporary society and to offer policy recommendations that balance innovation with equity, fairness, and human well-being. Through this global perspective, the study underscores the need for collaborative approaches to addressing the multifaceted implications of AI, encouraging thoughtful governance, responsible deployment, and inclusive participation in shaping the future of AI for the betterment of all.
Authors
- Neelam C Dey (ORCID: https://orcid.org/0009-0009-4141-6276)
- Samir C Minz
- Abhishek Carls
- Nelisa Carls
Institutions
- Dynamic Systems (United States) (US)
Publication Details
- Journal
- Global E-Journal of Social Scientific Research
- Published
- 2025-08-28
- DOI
- https://doi.org/10.64706/hpctnr69
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00