Use of Artificial Intelligence in Social Sciences for Improving Problem Solving

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Authors: T. Venkat Narayana Rao, Damacharla Tejaswini, C. Swetha, Sangers Bhavana
Cited by: 0
References: 11

Abstract

The field of social science is being transformed by rising artificial intelligence implementation. Through AI technology researches achieve faster data analysis as well as automation of operations and access innovative methodologies of problem-solving. The chapter evaluates current AI applications in social science domains while assessing the advantages with the difficulties these implementations introduce. In sociology, AI enhances social behaviour analysis, AI models predict election outcomes in political science, AI-driven mental health chatbots in psychology, AI-powered adaptive learning systems in education, predictive policing leverages AI to analyse crime patterns and anticipate potential criminal activities in criminology and AI driven stock market prediction in economics. Artificial intelligence interacts with social science research methodologies represent a significant advancement in the field. It is important to stay aware of ethical concerns such as transparency in AI models and use this powerful technology responsibly.

Fields of Study & Subjects

Artificial Intelligence Applications Ethics and Social Impacts of AI Computational and Text Analysis Methods

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
367–382
Publication date
15 January 2026
Document type
Book chapter