Artificial
Intelligence (AI) holds colossal promise for advancing human development,
particularly in education, science, and communication. The ethical issues
surrounding the design and use of artificial intelligence (AI) have become more
important as it becomes more common in schools, government, and society as a
whole. The Input–Process–Output (IPO) Ethics Framework is a complete paradigm
for finding and dealing with ethical hazards at every stage of the AI lifecycle
in response to these problems. This chapter 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. Education for AI
focuses on Training AI Experts, preparing the Workforce and Public AI Literacy.
AI for Education leverages AI tools to enhance teaching, learning, and
administrative processes in educational systems. 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 the
input, process, and output phases. Section one addresses AI’s social
implications. This chapter also examines AI educational policy using the United
Nations Educational, Scientific and Cultural Organisation’s (UNESCO’s)
guidelines as a benchmark for member states. Ethical considerations in AI
development and usage were also discussed in this chapter. Finally, this
chapter 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 emphasises 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 aims to
support the ethical advancement of AI in education and governance.
Author(s) Details
Mfanelo Ntsobi
Sci-Bono
Discovery Centre, Corner of Miriam Makeba and Helen Joseph (Formerly Newtown,
Helen Joseph St), Johannesburg, South Africa.
Bongani June Mwale
Sci-Bono Discovery
Centre, Corner of Miriam Makeba and Helen Joseph (Formerly Newtown, Helen
Joseph St), Johannesburg, South Africa.
Kholekile Ntsobi
School of Business,
DaVinci Institute for Technology Management, 16 Park Ave, Johannesburg, South Africa.
Please see
the book here :- https://doi.org/10.9734/bpi/mcsru/v8/6832
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