|                                                                    ISSN: 2835-6764                                                          : 10.71010/AJSER-2025-e252
Ethical Artificial Intelligence in Education: A Southern African Framework Decoding Algorithmic Through Governance Lens
Author(s): Mfanelo Ntsobi1, Bongani June Mwale2*, Kholekile Ntsobi3
Bongani June Mwale2*
1Sci-Bono Discovery Centre, Corner of Miriam Makeba and Helen Joseph (formerly Newtown |, Helen Joseph St), Johannesburg, South Africa 
2Sci-Bono Discovery Centre, Corner of Miriam Makeba and Helen Joseph (formerly Newtown |, Helen Joseph St), Johannesburg, South Africa 
3School of Business, DaVinci Institute for Technology Management, 16 Park Ave, Johannesburg, South Africa
How to Cite:
Ntsobi M, Mwale BJ, Ntsobi K (2025) Ethical Artificial Intelligence in Education: A Southern African Framework Decoding Algorithmic Through Governance Lens. American J Sci Edu Re: AJSER-252.
Received: 16 June, 2025
Accepted: 23 June, 2025
Published: 30 June, 2025
Abstract
This paper explores the social and ethical considerations of artificial intelligence (AI) as it integrates into education and society. It examines challenges such as data privacy, algorithmic bias, AI trustworthiness, and human agency. The literature highlights context, human agency and the importance of diverse stakeholder involvement in AI governance, AI literacy, responsible education, and strategies for ethical assessment and mitigation. A literature review of recent articles and policy documents informs this study, focusing on AI’s evolving role in education. The research develops an input-process-output (IPO) framework to address ethical concerns at each stage of AI development. The IPO model outlines the ethical implications for input, process, and output phases. Section one addresses AI’s social implications. Section two examines AI educational policy using United Nations Education, Scientific and Culture Organisation’s (UNESCO’s) guidelines as a benchmark for member states. Section three explores ethical considerations in AI development and usage. The final section presents the AI IPO Ethical Framework, detailing ethical responsibilities at each stage. The study underscores the role of policymakers, researchers, and higher education institutions in shaping AI’s ethical trajectory. It emphasizes responsible AI implementation, ensuring that AI systems are developed and deployed with ethical considerations in mind. The proposed framework serves as a guiding tool for assessing ethical risks and ensuring responsible AI integration in education. By fostering AI literacy and ethical awareness, this study contributes to ongoing discussions on AI ethics, advocating for transparent, fair, and accountable AI practices. It ultimately aims to support the ethical advancement of AI in education and governance.
Keywords:
Artificial intelligence; AI ethics; ethical considerations; input-process-output; IPO ethical framework
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