THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON HUMAN BEHAVIOR AND WELL-BEING: AN EMPIRICAL STUDY
DOI:
https://doi.org/10.29121/shodhai.v3.i1.2026.85Keywords:
Ai, Decision-Making, Healthcare, Education, Productivity, Well-Being, Social Impact, Data ProtectionAbstract
Artificial Intelligence (AI) is a sector within computer science dedicated to creating systems designed to execute functions traditionally requiring human cognition, including visual perception, speech recognition, decision-making, and language translation. Its significance for human well-being is highlighted by its role in refining and accelerating decision-making, elevating healthcare standards, boosting productivity in multiple sectors, and addressing intricate social issues.
This study utilized a mixed-method approach, combining a structured questionnaire with% point Likert scale questionnaire. Data were collected from 150 participants, complemented by an extensive review of literature from academic journals and online databases, allowing for a detailed examination of AI's societal and behavioral impacts. SPSS version 25 was used to analyze the data.
Educational Support showed the most substantial positive impact, with a mean score of 4.89 on a 5point Likert scale, indicating a strong influence on enhancing learning environments and personalizing education to fit individual needs. Social Isolation recorded the lowest mean score at 3.05, suggesting a lesser but still notable impact, particularly in terms of how AI-driven technologies might contribute to feelings of isolation among users. The One-Sample T-Tests across all variables returned statistically significant results (p < 0.000), particularly for Emotional and Mental Well-being, which scored the highest mean difference at 4.9, demonstrating AI's profound influence on improving well-being through various applications.
To mitigate risks and enhance benefits, it is imperative for policymakers and technologists to develop robust regulatory frameworks that emphasize transparency, fairness, and data protection in AI systems. Additionally, continuous monitoring and adaptation are recommended to address emerging AI impacts, ensuring that AI's integration into society maximally benefits all stakeholders.
References
Abhijith Ajithkumar, David, A., Jacob, A., Alex, A., and Thomas, A. C. (2023). Impact of AI on Employment and Job Opportunities. International Journal of Engineering Technology and Management Sciences, 7(4), 507–512. https://doi.org/10.46647/ijetms.2023.v07i04.067
Acemoglu, D., and Restrepo, P. (2018). Artificial Intelligence, Automation and Work. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3098384
Atoufian, H., Sun, W., and Liu, Z. (2020, July 6). AI-Bots as Influencers in Social Behavior: A Speculative Concept. In Companion Publication of the 2020 ACM Designing Interactive Systems Conference. https://doi.org/10.1145/3393914.3395902
Atraki, N., and Betton, V. C. N. (2014). How Social Media is Influencing Relationships Between People using and Providing Mental Health Services. International Journal of Integrated Care, 14(8). https://doi.org/10.5334/ijic.1749
Badet, J. (2021). AI, Automation and New Jobs. Open Journal of Business and Management, 9(5), 2452–2463.
Bergsten, S., and Rivas, P. (2019). Societal Benefits and Risks of Artificial Intelligence: A Succinct Survey.
Beyari, H. (2023). The Relationship Between Social Media and the Increase in Mental Health Problems. International Journal of Environmental Research and Public Health, 20(3), Article 2383. https://doi.org/10.3390/ijerph20032383
Bryson, J. J. (2020). The Artificial Intelligence of the Ethics of Artificial Intelligence. In M. D. Dubber, F. Pasquale, and S. Das (Eds.), The Oxford Handbook of Ethics of AI (1–25). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190067397.013.1
Chen, C.-T., and Ke, W.-C. (2023). The Main Impact and Response of Artificial Intelligence in Taiwanese Society. Journal of Research in Social Science and Humanities, 2(1), 13–24. https://doi.org/10.56397/JRSSH.2023.01.03
Chen, L., Chen, P., and Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Eflova, M., Vinogradova, Y., and Vitushkin, A. (2023). The Impact of Artificial Intelligence on the Development of Modern Society. E3S Web of Conferences, 449, 07005. https://doi.org/10.1051/e3sconf/202344907005
Ettman, C. K., and Galea, S. (2023). The Potential Influence of AI on Population Mental Health. JMIR Mental Health, 10, e49936. https://doi.org/10.2196/49936
Georgieff, A., and Hyee, R. (2022). Artificial Intelligence and Employment: New Cross-Country Evidence. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.832736
Gill, K. S., and Artz, J. M. (1987). Artificial Intelligence for Society. IEEE Expert, 2(2), 108–108.
Gomes, R., and Santos, M. (2023). Artificial Intelligence: Its Impact on Employability. World Journal of Advanced Research and Reviews, 18(3), 198–203.
Hamada, H. T., and Kanai, R. (2022). AI Agents for Facilitating Social Interactions and Wellbeing.
Hydén, H. (2020). AI, Norms, Big Data, and the Law. Asian Journal of Law and Society, 7(3), 409–436. https://doi.org/10.1017/als.2020.36
Jain, A. (2021). Artificial Intelligence and Human Society. South Florida Journal of Development, 2(4), 4963–4989. https://doi.org/10.46932/sfjdv2n4-003
Kanipakam, S. (2022). Jurisprudential Aspects of Person and Artificial Intelligence: A Way Forward to Sustainable Peace and Development. International Journal of Advanced Research, 10(12), 1086–1090.
Karangutkar, A. A. (2023). The Impact of Artificial Intelligence on Job Displacement and the Future of Work. International Journal of Advanced Research in Science, Communication and Technology, 635–638. https://doi.org/10.48175/IJARSCT-12096
Kim, J. (2019). An Analysis of the Effect of Artificial Intelligence on Human Society. The Journal of the Convergence on Culture Technology, 5(2), 177–182.
Klockmann, V., Von Schenk, A., and Villeval, M. C. (2021). Artificial Intelligence, Ethics, and Intergenerational Responsibility. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4002578
Li, X., and Zhang, T. (2017). An Exploration on Artificial Intelligence Application: From Security, Privacy and Ethic Perspective. In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (416–420). https://doi.org/10.1109/ICCCBDA.2017.7951949
Lu, C.-H. (2020). Artificial Intelligence and Human Jobs. Macroeconomic Dynamics, 26(5), 1162–1201. https://doi.org/10.1017/S1365100520000528
Lu, S., Christie, G. A., Nguyen, T. T., Freeman, J. D., and Hsu, E. B. (2022). Applications of Artificial Intelligence and Machine Learning in Disasters and Public Health Emergencies. Disaster Medicine and Public Health Preparedness, 16(4), 1674–1681. https://doi.org/10.1017/dmp.2021.125
Michelman, P. (2017). The Jobs that Artificial Intelligence will Create.
Moczok, E., and Płoszajczak, B. (2020). Artificial Intelligence: Benefits and Threats for Society. Humanities and Social Sciences Quarterly. https://doi.org/10.7862/rz.2020.hss.22
Mohd Faishal, S., Mathew, S., Neikha, K., Pusa, K., and Zhimomi, T. (2023). The Future of Work: AI, Automation, and the Changing Dynamics of Developed Economies. World Journal of Advanced Research and Reviews, 18(3), 620–629. https://doi.org/10.30574/wjarr.2023.18.3.1086
Moradi, P., and Levy, K. (2020). The Future of Work in the Age of AI. In M. D. Dubber, F. Pasquale, and S. Das (Eds.), The Oxford Handbook of Ethics of AI (269–288). Oxford University Press.
Morandín-Ahuerma, F. (2022). International Journal of Research Publication and Reviews.
Mpu, Y. (2019). Organizational and Social Impact of Artificial Intelligence.
N. Wani, A., Najar, S. A., and Masoodi, Z. (2018). The Impact of Automation on Human Behavior: A Review.
Nicholas, L. (2020). The Digital Revolution Revisited: Artificial Intelligence and Employment.
Pandit, S. S., and Naseem, S. B. (2022). A Composite Literature Review on Impact of Artificial Intelligence on Job Profiling. In 2022 5th International Conference on Advances in Science and Technology (ICAST). https://doi.org/10.1109/ICAST55766.2022.10039519
Pelau, C., Ene, I., and Pop, M.-I. (2021). The Impact of Artificial Intelligence on Consumers Identity and Human Skills. Amfiteatru Economic, 23(56), 33. https://doi.org/10.24818/EA/2021/56/33
Poola, I. (2017). How Artificial Intelligence is Impacting Real Life Every Day.
Prabhakar Rao, J., and Siva Prasad, R. (2021). Tangible and Intangible Impact of AI Usage: AI for Information Accessibility. International Review of Information Ethics, 29.
Rosenberg, R. (1988). The Impact of Artificial Intelligence on Society.
Russell, S. (2022). Provably Beneficial Artificial Intelligence. In Proceedings of the 27th International Conference on Intelligent User Interfaces. https://doi.org/10.1145/3490099.3519388
Salvi, R., and Singh, R. (2023). Artificial Intelligence and Human Society. International Journal of Social Science and Human Research, 6(9). https://doi.org/10.47191/ijsshr/v6-i9-13
Sen, S., and Patel, W. (2023). Exploring the Uncertain Effects of AI-Powered Automation. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering. https://doi.org/10.1109/ICACITE57410.2023.10182831
Shah, B., and S. M. B. N. (2022). A Comprehensive Review of the Negative Impact of Integration of AI in Social Media in Mental Health of Users. In 2022 5th International Conference on Advances in Science and Technology (ICAST). https://doi.org/10.1109/ICAST55766.2022.10039585
Subashini, P., and Krishnaveni, M. (2021). Artificial Intelligence-Based Assistive Technology. In Artificial Intelligence Theory, Models, and Applications (217–240). Auerbach Publications.
Suárez-Carreño, F. (n.d.). Artificial Intelligence and Its Impact on Social Behavior: A Scoping Review. Praxis Pedagógica.
Tiwari, R. (2023). The Impact of AI and Machine Learning on Job Displacement and Employment Opportunities. International Journal of Scientific Research in Engineering and Management, 7(1).
Tolulope, O. O., et al. (2024). Mental Health and Social Media in the U.S.: A Review. World Journal of Advanced Research and Reviews, 21(1), 321–334. https://doi.org/10.30574/wjarr.2024.21.1.0015
Tripathi, S. (2021). Artificial Intelligence: A Brief Review. In T. H. Musiolik and A. D. Cheok (Eds.), Artificial Intelligence Theory, Models, and Applications (1–16). IGI Global. https://doi.org/10.4018/978-1-7998-3499-1.ch001
Trivedi, C., Mansuri, Z., Vadukapuram, R., and Reddy, A. (2021). Social Media and Its Effect on Mental Health: Friend or foe? European Psychiatry, 64(S1), S758. https://doi.org/10.1192/j.eurpsy.2021.2009
Turuta, O., and Turuta, O. (2022). Artificial Intelligence Through the Prism of Fundamental Human Rights. Uzhhorod National University Herald, 71, 49–54. https://doi.org/10.24144/2307-3322.2022.71.7
Vasiljeva, T., Kreituss, I., and Lulle, I. (2021). Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries. Journal of Risk and Financial Management, 14(8), 339. https://doi.org/10.3390/jrfm14080339
Wilson, H., Rauwolf, P., and Bryson, J. (2021). Evolutionary Psychology and Artificial Intelligence: The Impact of Artificial Intelligence on Human Behaviour. In The SAGE Handbook of Evolutionary Psychology (333–351). SAGE Publications.
Yi Guo. (2021). Economic Law Thinking on the Negative Effects of Artificial Intelligence.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ashok Kumar Khati
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
