1.7 Ethical Use of Generative AI in Content Creation

McDonald Kyte and Katherine Dyck

Generative Artificial Intelligence (GenAI) as a Tool

Generative AI can play a pivotal role in academic research by streamlining and enhancing various aspects of the research process. It can assist in gathering and analyzing vast amounts of data quickly, allowing students to identify patterns and insights that would be difficult to discern manually. AI tools can also help in literature reviews by summarizing key findings from numerous sources, thus saving time and improving the depth of understanding. Furthermore, automated citation tools can help in proper referencing. By leveraging GenAI tools, students can focus more on critical thinking and the creative aspects of research, ultimately enhancing the quality and efficiency of their academic work. You need to check with your instructor about how and if AI tools are allowed in your course.

Concerns about using Generative AI in Academic Writing

One major issue with the use of GenAI in research and academic writing is the potential risk of plagiarism and the misrepresentation of AI-generated content as original work, which undermines academic integrity. Additionally, GenAI algorithms can introduce biases based on the data they are trained on, leading to skewed or misleading results. There is also the risk of over-reliance on AI tools, which may impede the development of critical thinking and research skills among students. Ethical considerations about data privacy and consent are of crucial, as AI systems often require access to vast amounts of information. Finally, the quality and accuracy of AI-generated content can vary, necessitating thorough human oversight to ensure the reliability and validity of academic work.

Resources and Tools

Please refer to SaskPolytech Library AI resources and learn more about Generative AI. Also, check out Microsoft’s GenAI tool Copilot, approved for use at SaskPolytech.

References

Kyte, M. (2024, January 27). Technical communications: Introduction to communications in aviation. Seneca. https://pressbooks.senecapolytechnic.ca/technicalcommunications/ [Used under CC BY 4.0]

License

Icon for the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Technical Communication for TCOM 104 Copyright © 2026 by Katherine Dyck; Suzan Last; McDonald Kyte; Robin L. Potter; and Tricia Hylton is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.