A Bibliometric Analysis of the Ethical and Social Implications of AI
DOI:
https://doi.org/10.58812/wsis.v3i03.1783Keywords:
Artificial Intelligence, AI Ethics, Algorithmic Bias, Data Privacy, TransparencyAbstract
The rapid advancement of artificial intelligence (AI) has raised significant ethical and social concerns, necessitating a systematic analysis of research trends in this domain. This study employs a bibliometric analysis using data from Scopus and visualization through VOSviewer to map the scholarly landscape of AI ethics. The analysis identifies key research themes, including algorithmic bias, data privacy, transparency, accountability, and trust, while highlighting emerging topics such as ChatGPT, adversarial machine learning, AI in education and healthcare, and sustainability. The co-authorship and country collaboration networks reveal a highly interdisciplinary and globally connected research community, with strong contributions from the United States, Germany, India, and China, but limited representation from the Global South. Findings indicate that AI ethics research is evolving beyond theoretical discussions to address real-world applications and governance challenges. The study underscores the need for more inclusive AI policies, interdisciplinary collaborations, and ethical AI governance frameworks to ensure responsible AI development. Future research should focus on bridging the gap between AI engineering and ethical oversight, regulating AI-driven misinformation, and expanding the global diversity of AI ethics discourse.
References
[1] A. Hagerty and I. Rubinov, “Global AI ethics: a review of the social impacts and ethical implications of artificial intelligence,” arXiv Prepr. arXiv1907.07892, 2019.
[2] S. Bankins and P. Formosa, “The ethical implications of artificial intelligence (AI) for meaningful work,” J. Bus. Ethics, vol. 185, no. 4, pp. 725–740, 2023.
[3] M. A. Camilleri, “Artificial intelligence governance: Ethical considerations and implications for social responsibility,” Expert Syst., vol. 41, no. 7, p. e13406, 2024.
[4] S. Bird, S. Barocas, K. Crawford, F. Diaz, and H. Wallach, “Exploring or exploiting? Social and ethical implications of autonomous experimentation in AI,” in Workshop on Fairness, Accountability, and Transparency in Machine Learning, 2016.
[5] A. Kuzior, M. Sira, and P. Brożek, “Ethical implications and social impacts of integrating artificial intelligence into sustainability efforts,” Zesz. Nauk. Organ. i Zarządzanie/Politechnika Śląska, 2023.
[6] E. Ruane, A. Birhane, and A. Ventresque, “Conversational AI: Social and Ethical Considerations.,” AICS, vol. 2563, pp. 104–115, 2019.
[7] V. R. BenJaMins and I. Salazar García, “Towards a framework for understanding societal and ethical implications of Artificial Intelligence,” Vulnerabilidad y Cult. Digit. riesgos y oportunidades la Soc. hiperconectada, pp. 89–100, 2019.
[8] R. A. Partadiredja, C. E. Serrano, and D. Ljubenkov, “AI or human: the socio-ethical implications of AI-generated media content,” in 2020 13th CMI Conference on Cybersecurity and Privacy (CMI)-Digital Transformation-Potentials and Challenges (51275), IEEE, 2020, pp. 1–6.
[9] F. Osasona, O. O. Amoo, A. Atadoga, T. O. Abrahams, O. A. Farayola, and B. S. Ayinla, “Reviewing the ethical implications of AI in decision making processes,” Int. J. Manag. Entrep. Res., vol. 6, no. 2, pp. 322–335, 2024.
[10] J. V Devasia, P. Deepanramkumar, A. Helensharmila, and G. Yenduri, “Ethical Considerations and Social Implications,” in Sustainable Farming through Machine Learning, CRC Press, 2024, pp. 267–279.
[11] H. M. Jaber, Z. A. Saleh, W. Jaber, and W. Amil, “Ethical and Social Implications of AI and Nanotechnology,” in Artificial Intelligence in the Age of Nanotechnology, IGI Global Scientific Publishing, 2024, pp. 195–209.
[12] A. Kumar and L. Kumar, “Navigating the future: the ethical, societal and technological implications of artificial intelligence,” J. homepage, https//gjrpublication. com/gjrecs, 2024.
[13] L. Vesnic-Alujevic, S. Nascimento, and A. Polvora, “Societal and ethical impacts of artificial intelligence: Critical notes on European policy frameworks,” Telecomm. Policy, vol. 44, no. 6, p. 101961, 2020.
[14] W. Ansari, “The Ethical Implications of Artificial Intelligence on the Human Society,” Available SSRN 4512301, 2023.
[15] J. Mehan, “Artificial intelligence: Ethical, social, and security impacts for the present and the future,” 2024.
[16] A. Čartolovni, A. Tomičić, and E. L. Mosler, “Ethical, legal, and social considerations of AI-based medical decision-support tools: a scoping review,” Int. J. Med. Inform., vol. 161, p. 104738, 2022.
[17] A. Zhuk, “Ethical implications of AI in the Metaverse,” AI Ethics, pp. 1–12, 2024.
[18] A. K. Kalusivalingam, “Ethical Considerations in AI: Historical Perspectives and Contemporary Challenges,” J. Innov. Technol., vol. 1, no. 1, pp. 1–8, 2018.
[19] H. O. Khogali and S. Mekid, “The blended future of automation and AI: Examining some long-term societal and ethical impact features,” Technol. Soc., vol. 73, p. 102232, 2023.
[20] T. Suksawaeng, “The Intersection of Technology and Society: Ethical Implications of AI in Social Dynamics,” J. Explor. Interdiscip. Methodol., vol. 1, no. 2, pp. 17–25, 2024.
[21] S. Graham et al., “Artificial intelligence for mental health and mental illnesses: an overview,” Curr. Psychiatry Rep., vol. 21, pp. 1–18, 2019.
[22] J. Morley, L. Floridi, L. Kinsey, and A. Elhalal, “From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices,” Sci. Eng. Ethics, vol. 26, no. 4, pp. 2141–2168, 2020.
[23] A. Fiske, P. Henningsen, and A. Buyx, “Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy,” J. Med. Internet Res., vol. 21, no. 5, p. e13216, 2019.
[24] M. Gupta, C. Akiri, K. Aryal, E. Parker, and L. Praharaj, “From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,” IEEE Access, vol. 11, pp. 80218–80245, 2023.
[25] I. Munoko, H. L. Brown-Liburd, and M. Vasarhelyi, “The ethical implications of using artificial intelligence in auditing,” J. Bus. ethics, vol. 167, no. 2, pp. 209–234, 2020.
[26] A. Di Vaio, R. Palladino, R. Hassan, and O. Escobar, “Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review,” J. Bus. Res., vol. 121, pp. 283–314, 2020.
[27] A. Thieme, D. Belgrave, and G. Doherty, “Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems,” ACM Trans. Comput. Interact., vol. 27, no. 5, pp. 1–53, 2020.
[28] S. Du and C. Xie, “Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities,” J. Bus. Res., vol. 129, pp. 961–974, 2021.
[29] K. Wach et al., “The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT,” Entrep. Bus. Econ. Rev., vol. 11, no. 2, pp. 7–30, 2023.
[30] M. Firat, “What ChatGPT means for universities: Perceptions of scholars and students,” J. Appl. Learn. Teach., vol. 6, no. 1, pp. 57–63, 2023.
[31] V. Komandla and S. P. T. PERUMALLA, “Transforming traditional banking: Strategies, challenges, and the impact of fintech innovations,” Educ. Res., vol. 1, no. 6, pp. 1–9, 2017.
[32] S. Saksonova and I. Kuzmina-Merlino, “Fintech as financial innovation–The possibilities and problems of implementation,” 2017.
[33] I. Romānova and M. Kudinska, “Banking and fintech: A challenge or opportunity?,” in Contemporary issues in finance: Current challenges from across Europe, Emerald Group Publishing Limited, 2016, pp. 21–35.
[34] M. Agarwal, “THE ROLE OF FINTECH IN DISRUPTING TRADITIONAL BANKING MODELS,” UNIFIED VISIONS, vol. 260, 2024.
[35] N. M. Boustani, “Traditional banks and fintech: survival, future and threats,” ICT an Incl. World Ind. 4.0–Towards Smart Enterp., pp. 345–359, 2020.
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