AI in Everyday Life: A Sociological Analysis
Article Sidebar
Main Article Content
Abstract
Artificial Intelligence (AI) has become an integral part of students’ daily lives. It influences their learning patterns, communication styles, and social behaviour. This study examines digital engagement and social behaviour associated with AI use among undergraduate students of college. Based on primary data collected from 210 respondents, the paper analyses awareness, usage patterns, and social interaction with AI tools. The findings reveal that, while AI is widely used for academic and informational purposes, its integration into social life remains partial and marked by hesitation. The study highlights emerging sociological concerns related to digital dependency, changing interaction patterns, and ethical considerations. The paper contributes to contemporary sociological discourse on technology and youth culture.
Article Details
Issue
Section
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
References
Castells, M. (2010). The rise of the network society (2nd ed.). Wiley-Blackwell.
Giddens, A. (1991). Modernity and self-identity: Self and society in the late modern age. Stanford University Press.
Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.
Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Selwyn, N. (2016). Education and technology: Key issues and debates (2nd ed.). Bloomsbury Academic.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Dwivedi, Y. K., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.