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Faculty of Humanities Guidance on Artificial Intelligence and Learning for Students

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HMN Position on AI-matters in T&L: Higher Education Learning

STUDENT GUIDE

Essential AI Information There are different types of “Artificial Intelligence” (AI) technologies that can perform different functions with complex implications for society. Generative AI (GenAI) is one type of AI technology. ChatGPT is one example of GenAI software.

AI technologies are not isolated. These technologies are being integrated into many software platforms. GenAI technologies perform different functions from a search engine (like Google). Yet, GenAI can be embedded tools in computer programs, including search engines.

GenAI use is not a neutral action. There are serious ethical considerations regarding AI use including negative impacts on climate, data protection risks, & much more. GenAI outputs can be generic & fall short of requirements leading to poor performance in academic tasks.

GenAI can plagiarise, fabricate & misrepresent information. GenAI outputs can appear more reliable than they are & are not automatically credible sources.

GenAI technologies & outputs can be Teaching & Learning (T&L) resources when used appropriately. AI ethics, use & outputs can be topics for critical scholarship & part of the curriculum.

Key Decision-Making Principles: Centre learning & skill development in all educational practices. Learning is social & involves interactions with content, peers & teachers, as well as GenAI. Interacting with peers can be suitable for collaborative tasks but unsuitable for other tasks where peer interactions would qualify as collusion (a form of misconduct). In the same way, GenAI interactions can be suitable for some tasks but not others.

Learning is a process & not just a product. Your lecturer will decide whether GenAI-technology use aligns with learning objectives or not. When its use supports learning, it may be incorporated into learning activities in specific ways. When its use bypasses learning, GenAI use should be avoided.

Lecturers will communicate GenAI

Due diligence (personal responsibility) cannot be

use instructions. These instructions will

outsourced. Fact checking, source

indicate if GenAI use in a course, activity or

verification, critical engagement & human

assessment is misconduct or not.

oversight are necessities in T&L processes.

Clear communication and reciprocal transparency are essential for learning. All GenAI use during a learning process needs to be recorded & acknowledged (including the prompt, output & adaptations).

Due diligence: Necessary Actions & Responsibilities of University Students* Consult & comply with AI use instructions from your

Seek clarification from your lecturer*, particularly when

lecturer to safeguard your learning*. The use options

you: • cannot find guidance on AI

range from no use to AI Exploration. (Perkins et al. 2024). These instructions can be at course, learning activity &/or assessment levels.

use for your course, activities &/or assessments • are unsure if using software constitutes AI use

Access Faculty Learning Support offerings to develop critical AI

Should you use GenAI or not, it is your

Record & acknowledge all AI use during a learning process. Records

literacies around un/safe & in/appropriate AI technology use.

responsibility to ensure your academic

can include the prompts, outputs & adaptations. For example, disclose &

Follow recommended practices to protect yourself like using university

work is free from bias, misinformation,

record AI editing software use, inclusive of the software name &

approved software. E.g. do not place confidential information in external

plagiarism, fabrication &

version, the prompt(s) used & pre- & post-AI edited versions of your work.

AI software that stores your inputs & uses it to train the software.

misrepresentation of information.

Utilise the AI referencing practices of the appropriate discipline.

*NOTE: Failure to abide by the instructions set by a lecturer in respect of the use of AI may constitute academic dishonesty & result in action in accordance with the Student Academic Misconduct Policy & the Rules for Student Discipline. Written by Catherine Tam, Nora-Lee Botha-Wales, Lindiwe Tshuma and Annie Mafunganyika-Ndlovu, 2025, University of the Witwatersrand, Johannesburg. Endorsed by the Humanities Assistant Deans of Undergraduate Studies (Thabisile Nkambule) & Teaching and Learning (Laura Dison).


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