ARTIFICIAL INTELLIGENCE, HUMAN BEHAVIOUR, AND SOCIAL TRANSFORMATION: A MULTIDISCIPLINARY REVIEW
Keywords:
Artificial intelligence, Human behaviour, Social transformation, Algorithmic governance, Digital inequality
Abstract
Artificial intelligence (AI) is increasingly embedded in social institutions, workplaces, education, media, governance, and everyday communication, producing significant changes in human behaviour and collective life. This multidisciplinary review examines how AI influences cognition, decision-making, psychological well-being, identity, social relationships, learning, employment, political communication, public administration, inequality, and cultural production. The reviewed literature indicates that AI can improve efficiency, personalise services, expand access to information, support learning, enhance productivity, and create new forms of social and creative participation. At the same time, growing dependence on intelligent systems may contribute to cognitive offloading, automation bias, emotional attachment, workplace surveillance, misinformation, algorithmic discrimination, digital exclusion, and reduced human autonomy. These effects are shaped by technological design, user characteristics, institutional practices, regulatory systems, and broader social inequalities. The review also highlights risks associated with opaque decision-making, synthetic media, pseudo-intimacy, unequal control over data, and the underrepresentation of marginalised communities in AI development. Responsible implementation therefore requires transparency, accountability, meaningful human oversight, inclusive design, data protection, digital literacy, and equitable access. Future research should prioritise longitudinal, comparative, and participatory approaches to assess the enduring social consequences of AI. Human-centred governance is essential to ensure that AI strengthens human judgement, dignity, creativity, and social well-being rather than replacing human agency or reinforcing existing structural disparities worldwide.
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References
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2.Alon-Barkat, S., & Busuioc, M. (2024). Public administration meets artificial intelligence: Towards a meaningful behavioral research agenda on algorithmic decision-making in government. Journal of Behavioral Public Administration, 7.
3.Arora, P. (2025). Creative data justice: a decolonial and indigenous framework to assess creativity and artificial intelligence. Information, Communication & Society, 28(13), 2231-2247.
4.Baradaran, A. (2024). Towards a decolonial I in AI: mapping the pervasive effects of artificial intelligence on the art ecosystem. AI & Society, 39(1), 7-19.
5.Battista, D. (2024). Political communication in the age of artificial intelligence: an overview of deepfakes and their implications. Society Register, 8(2), 7-24.
6.Baum, S. D. (2021). Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems: SD Baum. Philosophy & Technology, 34(Suppl 1), 45-63.
7.Chen, X., Xie, H., Qin, S. J., Wang, F. L., & Hou, Y. (2025). Artificial intelligence‐supported student engagement research: Text mining and systematic analysis. European Journal of Education, 60(1), e70008.
8.Davis, I. (2024). Qualitative Investigation of Digital Technologies, Social Media, and AI on Human Behaviour, Identity, Communication, and Social Relations in Australia. Social Science Chronicle, 4(1), 01-18.
9.Dhimolea, T. K., Kaplan-Rakowski, R., & Lin, L. (2022). Supporting social and emotional well-being with artificial intelligence. In Bridging human intelligence and artificial intelligence (pp. 125-138). Cham: Springer International Publishing.
10.Duberry, J. (2022). Artificial intelligence and democracy: risks and promises of AI-mediated citizen–government relations. In Artificial intelligence and democracy. Edward Elgar Publishing.
11.Edwards, M. R., Zubielevitch, E., Okimoto, T., Parker, S., & Anseel, F. (2024). Managerial control or feedback provision: how perceptions of algorithmic HR systems shape employee motivation, behavior, and well‐being. Human Resource Management, 63(4), 691-710.
12.Farahani, M., & Ghasemi, G. (2024). Artificial intelligence and inequality: Challenges and opportunities. Int. J. Innov. Educ, 9, 78-99.
13.Farooq, M., Buzdar, H. Q., & Muhammad, S. (2023). AI-Enhanced Social Sciences: A systematic literature review and bibliographic analysis of web of science published research papers. Pakistan Journal of Society, Education and Language (PJSEL), 10(1), 250-267.
14.Gagné, M., Parent-Rocheleau, X., Bujold, A., Gaudet, M. C., & Lirio, P. (2022). How algorithmic management influences worker motivation: A self-determination theory perspective. Canadian Psychology/Psychologie canadienne, 63(2), 247.
15.García-Barrios, D. A. (2025). Epistemic Partner or Cognitive Crutch: A Conceptual Model of Cognitive Off-loading in Human–AI Collaboration. IEEE Internet Computing.
16.Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216.
17.Hariyanto, Kristianingsih, F. X. D., & Maharani, R. (2025). Artificial intelligence in adaptive education: a systematic review of techniques for personalized learning. Discover Education, 4(1), 458.
18.Hillo, J., Vento, I., & Erkkilä, T. (2025). Algorithmic governance: Experimental Evidence on Citizens' and Public Administrators' Legitimacy Perceptions of Automated Decision‐Making. Public Administration.
19.Ismatullaev, U. V. U., & Kim, S. H. (2024). Review of the factors affecting acceptance of AI-infused systems. Human factors, 66(1), 126-144.
20.Jiang, P., Niu, W., Wang, Q., Yuan, R., & Chen, K. (2024). Understanding users’ acceptance of artificial intelligence applications: a literature review. Behavioral Sciences, 14(8), 671.
21.Joyce, K., Smith-Doerr, L., Alegria, S., Bell, S., Cruz, T., Hoffman, S. G., ... & Shestakofsky, B. (2021). Toward a sociology of artificial intelligence: A call for research on inequalities and structural change. Socius, 7, 2378023121999581.
22.Kovach, L. P. (2026). Artificial Intimacy: Companion Artificial Intelligence and Emerging Risks to Adolescent Mental Health. Social Sciences, 15(7), 491.
23.Kulesz, O. (2018). Culture, platforms and machines: the impact of artificial intelligence on the diversity of cultural expressions. Intergovernmental committee for the protection and promotion of the diversity of cultural expressions, 12(2).
24.Kumar, M., Kumar, S., Singh, V., Kumar, R., Soni, A. K., Singh, V. K., ... & Lal, B. (2025). Cognitive Consequences of Artificial Intelligence: Is Human Intelligence at Stake?. Indian Journal of Behavioural Sciences, 28(2), 89-93.
25.Kumar, S., Verma, A. K., & Mirza, A. (2024). Digital transformation, artificial intelligence and society. Springer. https://link. springer. com/book/10, 1007, 978-981.
26.Lee, H. K. (2022). Rethinking creativity: Creative industries, AI and everyday creativity. Media, Culture & Society, 44(3), 601-612.
27.Li, R. (2020). Artificial intelligence revolution: How AI will change our society, economy, and culture. Simon and Schuster.
28.Lodge, J. M., & Loble, L. (2026). Artificial intelligence, cognitive offloading and implications for education.
29.Lutz, C. (2019). Digital inequalities in the age of artificial intelligence and big data. Human Behavior and Emerging Technologies, 1(2), 141-148.
30.Matthews, G., & Bliuc, A. M. (2026). Personality, identity, and Artificial Intelligence: a grand challenge. Frontiers in Psychology, 17, 1817687.
31.Mendonça, R. F., Almeida, V., Filgueiras, F., & Almeida, V. A. (2024). Algorithmic institutionalism: the changing rules of social and political life. Oxford University Press.
32.Momeni, M. (2025). Artificial intelligence and political deepfakes: Shaping citizen perceptions through misinformation. Journal of Creative Communications, 20(1), 41-56.
33.Neyazi, T. A., Khai Ee, T., & Kuru, O. (2025). Campaign Deepfakes and Affective Polarization: The Role of Artificial Intelligence in Campaigns in Shaping Voter Attitudes. Social Science Computer Review, 08944393251362247.
34.Ng, Y. L. (2025). A longitudinal model of continued acceptance of conversational artificial intelligence. Information Technology & People, 38(4), 1871-1889.
35.Pirjan, A., & Petroşanu, D. M. (2025). ARTIFICIAL SOCIAL INTELLIGENCE AND THE TRANSFORMATION OF HUMAN INTERACTION BY ARTIFICIAL INTELLIGENCE AGENTS. Journal of Information Systems & Operations Management, 19(1).
36.Polyportis, A. (2024). A longitudinal study on artificial intelligence adoption: understanding the drivers of ChatGPT usage behavior change in higher education. Frontiers in Artificial Intelligence, 6, 1324398.
37.Popescu, V. (2023). Artificial Intelligence-driven Workplace Automation and Algorithmic Management Tools for Employee Motivation, Satisfaction, and Productivity. Psychosociological Issues in Human Resource Management, 11(2), 36-50.
38.Rahim, R., & Sindhu, S. (2025). AI-Driven Multidisciplinary Frameworks for Solving Complex Societal Challenges through the Integration of Science, Technology, and Humanities. Bridge: Journal of Multidisciplinary Explorations, 1(1), 43-52.
39.Rezaev, A. V., & Tregubova, N. D. (2018). Are sociologists ready for ‘artificial sociality’? Current issues and future prospects for studying artificial intelligence in the social sciences. Мониторинг общественного мнения: экономические и социальные перемены, (5 (147)), 91-108.
40.Robles, P., & Mallinson, D. J. (2025). Artificial intelligence technology, public trust, and effective governance. Review of policy research, 42(1), 11-28.
41.Santiago-Torner, C., Corral-Marfil, J. A., & Tarrats-Pons, E. (2025). Artificial Intelligence and the Reconfiguration of Emotional Well-Being (2020–2025): A Critical Reflection. Societies, 16(1), 6.
42.Saura García, C. (2025). Synthetification of public opinion: impacts on deliberative democracies. Ethics and Information Technology, 27(4), 54.
43.Selgas-Cors, M. (2025). Sociotechnical Transformation: A Systematic Review on the Impact of Artificial Intelligence on Society and Organizations. FinTech and Sustainable Innovation, 1-16.
44.Srivastava, P., Choudhary, R. R., Tekwani, K., & Srivastava, A. (2025). Implementation of AI in humanities and social sciences: Unlocking opportunities and addressing challenges through multidisciplinary research approach. In Recent Advances in Sciences, Engineering, Information Technology & Management (pp. 452-458). CRC Press.
45.Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI‐driven adaptive learning for sustainable educational transformation. Sustainable development, 33(2), 1921-1947.
46.Wu, J. (2024). Social and ethical impact of emotional AI advancement: the rise of pseudo-intimacy relationships and challenges in human interactions. Frontiers in psychology, 15, 1410462.
47.Yu, P. K. (2020). The algorithmic divide and equality in the age of artificial intelligence. Fla. L. Rev., 72, 331.
48.Zajko, M. (2022). Artificial intelligence, algorithms, and social inequality: Sociological contributions to contemporary debates. Sociology Compass, 16(3), e12962.
49.Zhang, M. M., Cooke, F. L., Ahlstrom, D., & McNeil, N. (2025). The rise of algorithmic management and implications for work and organisations. New Technology, Work and Employment, 40(3), 659-671.
50.Zhang, Y., Zhao, D., Hancock, J. T., Kraut, R., & Yang, D. (2025). The rise of AI companions: how human-chatbot relationships influence well-being. arXiv preprint arXiv:2506.12605.
Published
2026-07-31
How to Cite
Thejoroy Dasari, & Nallala Hima Varshini. (2026). ARTIFICIAL INTELLIGENCE, HUMAN BEHAVIOUR, AND SOCIAL TRANSFORMATION: A MULTIDISCIPLINARY REVIEW. IJRDO - Journal of Social Science and Humanities Research, 12(2), 01-14. https://doi.org/10.69980/sshr.v12i2.6762
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