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Ethical AI Integration in Academia: Developing a Literacy-Driven Framework for LLMs in South African Higher Education

Ethical AI Integration in Academia: Developing a Literacy-Driven Framework for LLMs in South African Higher Education
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Author(s): Zander Janse van Rensburg (North-West University, South Africa)and Sonja van der Westhuizen (North-West University, South Africa)
Copyright: 2024
Pages: 26
Source title: AI Approaches to Literacy in Higher Education
Source Author(s)/Editor(s): Oscar Oliver Eybers (University of Pretoria, South Africa)and Alan Muller (University of Pretoria, South Africa)
DOI: 10.4018/979-8-3693-1054-0.ch002

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Abstract

The chapter explores the transformative potential and challenges of integrating large language models (LLMs) into higher education. It highlights the opportunities AI presents for enhancing academic literacy, writing, and pedagogy, while also acknowledging the risks to traditional educational values and practices. It proposes a framework, developed with the guidance of academic literacy, information literacy, digital literacy, and academic integrity, aimed at leveraging AI's capabilities to support academic success without undermining foundational skills. The discussion extends to the implications of AI in the South African educational context, addressing the digital divide and advocating for equitable access to technology. This chapter encapsulates the essence of the proposed proactive framework for navigating AI's impact on academia, focusing on adaptation, critical engagement, and the cultivation of an advanced form of academic literacy that integrates AI technologies responsibly.

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