The Ethical and Social Impact of AI Technologies Like ChatGPT

Authors

DOI:

https://doi.org/10.26438/ijcse/v13i4.111115

Keywords:

Artificial Intelligence (AI), Ethics in AI, Social Impact of AI, AI and Society, AI Governance

Abstract

AI models like ChatGPT are changing how as the users communicate, learn, receive healthcare, and enjoy entertainment. Artificial Intelligence (AI) is transforming industries like healthcare, smart homes, retail, self-driving cars, and financial fraud detection. While AI improves efficiency and automates tasks, it also raises major ethical and social concerns. Some of the biggest issues include data privacy, misinformation, bias in decision-making, job loss, security risks, and difficulties in regulating AI. This paper takes a closer look at these concerns and explores ways to make AI more responsible, fair, and transparent while ensuring it benefits society.

References

[1] Muhammad Waqar, Arbaz Haider Khan, Iftikhar Bhatti, “Artificial Intelligence in Automated Healthcare Diagnostics: Transforming Patient Care,” International Journal of Healthcare Innovations, Vol.19, Issue.2, pp.10-15, 2024.

[2] B. P. Woolf, “AI in Education,” Journal of Educational Technology, Vol.4, Issue.3, pp.21-29, 1991.

[3] Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Y. Wang, “Artificial Intelligence in Healthcare: Past, Present and Future,” Healthcare Informatics Journal, Vol.2, Issue.4, pp.100-110, 2017.

[4] Xiao Guo, Zhenjiang Shen, Yajing Zhang, Teng Wu, “Review on the Application of Artificial Intelligence in Smart Homes,” International Journal of Smart Homes, Vol.2, Issue3, pp.402–420, 2019.

[5] Rajasshrie Pillai, Brijesh Sivathanu, Yogesh K. Dwivedi, “Shopping Intention at AI-Powered Automated Retail Stores (AIPARS),” Journal of Retailing and Consumer Services, Vol.57, pp.14-18, 2020.

[6] R. Abduljabbar, H. Dia, S. Liyanage, S. A. Bagloee, “Applications of Artificial Intelligence in Transport: An Overview,” Transportation Research Journal, Vol.11, Issue.1, pp.22-31, 2019.

[7] A. Guilherme, “AI and Education: The Importance of Teacher and Student Relations,” Educational Research Review, Vol.34, pp.47-55, 2017.

[8] Swaroop Reddy Gayam, “Artificial Intelligence for Financial Fraud Detection: Advanced Techniques for Anomaly Detection, Pattern Recognition, and Risk Mitigation,” Journal of Financial Engineering, Vol.1, Issue.2, pp.34-42, 2021.

[9] A. Kadkhodayi, M. Jabeli, H. Aghdam, S. Mirbakhsh, “AI-Based Real-Time Traffic Management,” Journal of Electrical and Electronics Engineering, Vol.2, Issue.4, pp.368-373, 2023.

[10] Yifang Ma, Zhenyu Wang, Hong Yang, Lin Yang, “Artificial Intelligence Applications in the Development of Autonomous Vehicles: A Survey,” Journal of Autonomous Vehicle Research, Vol.7, Issue.2, pp.115-130, 2020.

[11] Venkata Sai Swaroop Reddy, Nallapa Reddy, “Generative AI in Creative Industries: Revolutionizing Content Creation With Neural Networks,” Journal of Creative Computing, Vol.13, Issue.1, pp.72-85, 2022.

[12] V. Divya, A. U. Mirza, “Transforming Content Creation: The Influence of Generative AI on a New Frontier,” AI for Content Creation Book Series, pp.72-88, 2024.

[13] Ronal Chandra, Nazori Agani, Yoga Prihastomo, “Self Driving Car: Artificial Intelligence Approach,” Journal of Automobile Engineering, Vol.1, Issue.1, pp.1-12, 2012.

[14] L. Burbach, Johannes Nakayama, “Hey, Siri, Ok, Google, Alexa: Acceptance-Relevant Factors of Virtual Voice Assistants,” Journal of Human-Computer Interaction, Vol.7, Issue.3, pp.101-111, 2019.

[15] F. Feng, B. Shen, X. Mou, Y. Li, H. Li, “Large-scale Pharmacogenomic Studies and Drug Response Prediction for Personalized Cancer Medicine,” Journal of Medical Informatics, Vol.48, Issue.7, pp.540-551, 2019.

[16] B. Shen, F. Feng, K. Li, P. Lin, L. Ma, “A Systematic Assessment of Deep Learning Methods for Drug Response Prediction: From In Vitro to Clinical Applications,” Cancer Informatics Journal, Vol.24, Issue.1, pp. 88-100, 2023.

[17] M. Javaid, A. Haleem, R. P. Singh, R. Suman, S. Rab, “Significance of Machine Learning in Healthcare: Features, Pillars, and Applications,” International Journal of Healthcare Technology, Vol.3, pp.58-73, 2022.

[18] X. Wei, Xiaoyuan C, J. GENG, Y. Wang, P. Wang, H. Wang, C. Wang, “Societal Impacts of Chatbots and Mitigation Strategies for Negative Impacts: A Large-Scale Qualitative Survey of ChatGPT Users,” Technology in Society, Vol.77, pp.11-25, 2024.

[19] J. J. Huallpa, J. P. F. Arocutipa, W. D. Panduro, “Exploring the Ethical Considerations of Using ChatGPT in University Education,” Journal of Educational Technology and Ethics, Vol.11, Issue.4, pp.105-115, 2023.

[20] M. Arman, U. R. Lamiya, “Exploring the Implication of ChatGPT AI for Business: Efficiency and Challenges,” International Journal of Business and AI, Vol.5, Issue.1, pp.52-64, 2023.

[21] B. C. Stahl, D. Eke, “The Ethics of ChatGPT – Exploring the Ethical Issues of an Emerging Technology,” Journal of Emerging Technologies Ethics, Vol.74, pp.12-20, 2024.

Downloads

Published

2025-04-30
CITATION
DOI: 10.26438/ijcse/v13i4.111115
Published: 2025-04-30

How to Cite

[1]
A. T. Chougule, S. S. Harke, R. S. Mente, and B. D. Chendage, “The Ethical and Social Impact of AI Technologies Like ChatGPT”, Int. J. Comp. Sci. Eng., vol. 13, no. 4, pp. 111–115, Apr. 2025.

Issue

Vol. 13 No. 4 (2025): IJCSE April Edition

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.