ARTIFICIAL INTELLIGENCE AND ETHICAL IMPLICATIONS IN SOUTH AFRICAN HIGHER EDUCATION: A POLICY FRAMEWORK PERSPECTIVE
Abstract
As an increasing number of South African universities begin to consider and implement artificial intelligence systems, there is an accompanying concern about the ethical aspects that these innovations could have on society. Public discourse and scholarly research that raise concerns about AI’s impact on important societal systems, such as political and gender biases, are numerous. Current policies on higher education in South Africa are silent when it comes to how AI ethical implications may be addressed. The paper explores higher education’s current focus on AI and what external policies say about ethical AI and related technologies in the context of their applications.
Robotic process automation, as one of the earlier forms of AI, is being used in South African higher education to automate administrative operations. Through a combination of a policy analysis method and case study approach, we analyze the policy framework. The paper then shows how the policy neither explicitly addresses ethical AI nor critical ICT applications like artificial intelligence and mimics systems. The paper concludes that policy framework development for addressing ethical challenges related to AI should become an immediate priority. These findings emerge from an ongoing empirical study on the South African higher education sector regarding artificial intelligence. This study contributes to policy formulation in higher education to stimulate an ethically responsible AI environment. The study’s research focus on South African higher education provides a gap in current literature that is mainly focused on AI policy developments in developed nations, which currently do not have a comparative acceleration of AI and related technologies.
References
Aderibigbe, A. O., Ohenhen, P. E., Nwaobia, N. K., Gidiagba, J. O., & Ani, E. C. (2023). Artificial intelligence in developing countries: bridging the gap between potential and implementation. Computer Science & IT Research Journal, 4(3), 185-199. fepbl.com
Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101. mdpi.com
Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE. [HTML]
Aluko, R., Krull, G., & Mhlanga, E. (2022). Shaping open, distance and e-learning in post school education and training: A call for a revised agenda. Perspectives in Education. ufs.ac.za
Arakpogun, E. O., Elsahn, Z., Olan, F., & Elsahn, F. (2021). Artificial intelligence in Africa: Challenges and opportunities. The fourth industrial revolution: Implementation of artificial intelligence for growing business success, 375-388. northumbria.ac.uk
Beer, P. & Mulder, R. H. (2020). The effects of technological developments on work and their implications for continuous vocational education and training: A systematic review. Frontiers in psychology. frontiersin.org
Boughey, C. & McKenna, S. (2021). Understanding higher education: Alternative perspectives. oapen.org
Cai, Z., Liu, L., Chen, B., & Wang, Y. (2021). Artificial Intelligence: From Beginning to Date. worldscientific.com
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access. ieee.org
Daly, A., Hagendorff, T., Hui, L., Mann, M., Marda, V., Wagner, B., & Wei Wang, W. (2022). AI, Governance and Ethics: Global Perspectives. deakin.edu.au
Ezzaim, A., Kharroubi, F., Dahbi, A., Aqqal, A., & Haidine, A. (2022). Artificial intelligence in education-State of the art. International Journal of Computer Engineering and Data Science (IJCEDS), 2(2). researchgate.net
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda✰. Technological Forecasting and Social Change, 162, 120392. sciencedirect.com
Hlongwane, J., Shava, G. N., Mangena, A., & Muzari, T. (2024). Towards the integration of artificial intelligence in higher education, challenges and opportunities: the African context, a case of Zimbabwe. Int J Res Innov Soc Sci, 8(3S), 417-435. researchgate.net
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2022). An overview of artificial intelligence ethics. IEEE Transactions on Artificial Intelligence, 4(4), 799-819. ieee.org
Kiemde, S. M. A. & Kora, A. D. (2022). Towards an ethics of AI in Africa: rule of education. AI and Ethics. springer.com
Kumar, D., Haque, A., Mishra, K., Islam, F., Mishra, B. K., & Ahmad, S. (2023). Exploring the transformative role of artificial intelligence and metaverse in education: A comprehensive review. Metaverse Basic and Applied Research, 2, 55-55. semanticscholar.org
Liu, Y. & Pásztor, A. (2022). Effects of problem-based learning instructional intervention on critical thinking in higher education: A meta-analysis. Thinking Skills and Creativity. sciencedirect.com
Mahlomaholo, G. S. (2020). Creating decolonial sustainable learning environments for the fourth industrial revolution in the rural and urban higher education contexts: a study of inclusive management strategies. Alternation: Interdisciplinary Journal for the Study of the Arts and Humanities in Southern Africa. ump.ac.za
Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., ... & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education: Artificial Intelligence, 3, 100056. sciencedirect.com
Mhlanga, D. (2022). Human-centered artificial intelligence: The superlative approach to achieve sustainable development goals in the fourth industrial revolution. Sustainability. mdpi.com
Mhlongo, S., Mbatha, K., Ramatsetse, B., & Dlamini, R. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon. cell.com
Mikalef, P. & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm …. Information & management. sciencedirect.com
Mishra, S. (2020). Social networks, social capital, social support and academic success in higher education: A systematic review with a special focus on 'underrepresented' students. Educational Research Review. [HTML]
Olan, F., Arakpogun, E. O., Suklan, J., Nakpodia, F., Damij, N., & Jayawickrama, U. (2022). Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145, 605-615. sciencedirect.com
Oluwajana, D., Adeshola, I., & Clement, S. (2021). Does the use of a web-based collaborative platform reduce cognitive load and influence project-based student engagement?. Current Psychology. researchsquare.com
Oosthuizen, R. M. (2022). The fourth industrial revolution–Smart technology, artificial intelligence, robotics and algorithms: industrial psychologists in future workplaces. Frontiers in artificial intelligence. frontiersin.org
Pisica, A. I., Edu, T., Zaharia, R. M., & Zaharia, R. (2023). Implementing artificial intelligence in higher education: Pros and cons from the perspectives of academics. Societies. mdpi.com
Prinsloo, P. & Kaliisa, R. (2023). Dimensions of privacy and its implications for learning analytics. Preliminary insights from/for African higher education. Learning. tandfonline.com
Raimundo, R. & Rosário, A. (2021). The impact of artificial intelligence on data system security: A literature review. Sensors. mdpi.com
Rapanyane, M. B. & Sethole, F. R. (2020). The rise of artificial intelligence and robots in the 4th Industrial Revolution: implications for future South African job creation. Contemporary Social Science. [HTML]
Stahl, B. C. & Eke, D. (2024). The ethics of ChatGPT–Exploring the ethical issues of an emerging technology. International Journal of Information Management. sciencedirect.com
Samoili, S., Cobo, M. L., Gómez, E., De Prato, G., Martínez-Plumed, F., & Delipetrev, B. (2020). AI Watch. Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence. ugd.edu.mk
Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32(3), 527-563. [HTML]
Schneider, C. P. (2024). Innovative German technology in sub-Saharan Africa: Where is it used?. International Journal of technology management & sustainable development, 22(3), 245-273. [HTML]
Wakunuma, K., Ogoh, G., Eke, D. O., & Akintoye, S. (2022, May). Responsible AI, SDGS, and AI governance in Africa. In 2022 IST-Africa Conference (IST-Africa) (pp. 1-13). IEEE. researchgate.net
von Rueden, L., Mayer, S., Sifa, R., Bauckhage, C., & Garcke, J. (2020). Combining machine learning and simulation to a hybrid modelling approach: Current and future directions. In Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings 18 (pp. 548-560). Springer International Publishing. springer.com
Views:
29
Downloads:
14
Copyright (c) 2024 Elizabeth Oluwakemi Ayandibu
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published in open-access and licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Hence, authors retain copyright to the content of the articles.
CC BY 4.0 License allows content to be copied, adapted, displayed, distributed, re-published or otherwise re-used for any purpose including for adaptation and commercial use provided the content is attributed.