ISSN: 2225-8329
Open access
As artificial intelligence (AI) increasingly shapes the landscape of big data analytics, it brings forth a myriad of ethical considerations that demand our attention. The integration of artificial intelligence into social work increases the concerns in regards to ethical consideration as it brings complex situations. Hence this article aims to explore the ethical consideration when applying artificial intelligence applications in big data analysis from the perspective of the students of the social work undergraduate program in National University of Malaysia. 22 of second year students were selected by purposive sampling to participate in a series of AI workshops to analyse big data analysis. Participants were asked about their ethical consideration via open-ended Google form. Data were then analyzed by thematic analysis. Analysis found three themes emerged namely: data privacy is a priority, transparency and accountability and avoiding algorithmic bias. The results showed that the students integrity and professional manners when adopting AI skills in their career. This awareness reflects their readiness to become effective social workers. By maintaining these values and practices as they transition into professional roles, they are well-positioned to excel in their field and the integrity of the profession.
Ayling, J. and Chapman, A. (2021). Putting AI ethics to work: are the tools fit for purpose? AI and Ethics, 2(3), 405-429. https://doi.org/10.1007/s43681-021-00084-x
Barsky, A. E. (2022). Ethics Alive! Artificial Intelligence: Tricks or Tools for Social Work Education and Practice. Thesocialworker.com.
Burr, C., & Leslie, D. (2023). Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies. AI and Ethics, 3(1), 73-98.
Clarke, V., & Braun, V. (2017). Thematic analysis. The Journal of Positive Psychology, 12(3), 297-298.
Fan, L. (2024). Artificial intelligence ethics: a dialogue between technological advances and human values. International Journal of Education and Humanities, 14(2), 260-265. https://doi.org/10.54097/tvqkkf40
James, P., Lal, J., Liao, A., Magee, L., & Soldatic, K. (2023). Algorithmic decision-making in social work practice and pedagogy: confronting the competency/critique dilemma. Social Work Education, 1-18.
Hossain, M. B., Miraz, M. H., & Ya'u, A. (2024). From legality to responsibility: Charting the course for AI regulation in Malaysia. IIUM Law Journal, 32(1), 397-429.
Mizan, N. A., & Norman, H. (2024). Persepsi pelajar pra-universiti dalam menggunakan AI generatif: Kajian di universiti swasta Malaysia. Jurnal Pendidikan Bitara UPSI, 17(2), 138-149.
Mohamed, T. & Kasa, A. (2024). Slope Stability with Artificial Intelligence Analysis. Penerbit UKM: Bangi.
Mohd Makhbul, Z., Ali, M. H., & Mat Deli, M. (2024). Artificial intelligence for advancing healthcare in Kuwait. Digital Transformation in Healthcare Management for Society 5.0. Penerbit UKM: Bangi.
Nawi, A., Yaakob, M. F. M., Hussin, Z., Muhaiyuddin, N. D. M., Samuri, M. A. A., & Tamuri, A. H. (2021). Keperluan garis panduan dan etika Islam dalam penyelidikan kecerdasan buatan. Journal of Fatwa Management and Research, 26(2), 280-297.
Nordin, M. N., Mustafa, M. Z., & Mosbiran, N. F. (2023, January). The Application of Artificial Intelligence in Android Mobile Learning for the Special Education Students. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 806-811). IEEE.
Peter, D., Sinniah, S. & Yacob, P. (2022). Artificial intelligence in green human resource management. In Green Human Resource Management. Penerbit UKM: Bangi.
Reamer, F. (2023). Artificial intelligence in social work: emerging ethical issues. International Journal of Social Work Values and Ethics, 20(2), 52-71. https://doi.org/10.55521/10-020-205
Redko, K. (2023). Empathy in technology: AI and social entrepreneurship for poverty eradication. Efektyvna Ekonomika, (12). https://doi.org/10.32702/2307-2105.2023.12.38
Saleh, N. I., & Ijab, M. T. (2023). Industrial revolution 4.0 (IR4. 0) readiness among industry players: A systematic literature review. In Artificial Intelligence and Applications (Vol. 1, No. 2, pp. 70-85).
Segal, M. (2024). Confronting and managing ethical dilemmas in social work using ChatGPT. European Journal of Social Work, 1-13.
Share, P., & Pender, J. (2024). Role-playing the future: a simulation-based exploration of AI in social work. Ubiquity Proceedings, 4(1).
Toli, L. (2024). Artificial intelligence: opportunities and challenges for the social education and profession. Scholars Bulletin, 10(04), 143-147.
https://doi.org/10.36348/sb.2024.v10i04.005
Zawawi, M. A. A. M., & Azizan, A. Z. (2024). Faktor yang mempengaruhi penggunaan chatgpt terhadap penulisan tesis dalam kalangan pelajar pasca siswazah di UTHM. Research in Management of Technology and Business, 5(1), 579-592.
Saim, N. J., Abbas, A., Sarnon, N., Idris, A., Surin, E. S. M., Manap, J. H., & Khatib, N. A. M. (2024). Ethical Considerations in AI-Driven Big Data Analytics: The Perspectives of Social Work Students. International Journal of Academic Research in Accounting, Finance and Management Sciences, 14(4), 1081–1087.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode