Artificial Intelligence in Social Sciences: Ethics, Economy, and Governance

Abstract

Artificial Intelligence (AI) has become a revolutionary force across greater than one fields, including the social sciences, where it's significantly transforming studies methodologies, governance systems, financial systems, and ethical paradigms. With algorithms increasingly mediating human interactions, coverage decisions, and assistance allocations, their inclusion in social sciences raises profound issues regarding fairness, responsibility, and inclusivity. This article delves into the interdisciplinary conjunction of AI and social sciences, focusing on 3 vital areas: ethics, economy, and governance. Based on combining theoretical perspectives and empirical research, the article examines the ways in which AI-driven equipment influence social inequality, monetary systems, and public policy-making. The assessment highlights both opportunities—comprising efficiency, predictive knowing, and better governance—and threats, including algorithmic prejudice, surveillance, and job displacement. The article in the same manner analyzes global case studies that illustrate differences in AI uptake between developed and emerging regions. Last but not least, it suggests destiny guidelines that focus on ethical AI designs, fair monetary integration, and inclusive governance models. This multidisciplinary stance strives to contribute to a more holistic understanding of the implications of AI for society and manual sustainable policymaking.