5.6 Ethical Use of Generative AI in Content Creation
McDonald Kyte
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.
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.
Further Reading
Chapter 2 – Generative AI in Content Creation in Open Education Resource Technical Writing Essentials
Resources and Tools
Please refer to Seneca Libraries Generative AI resources and learn more about Generative AI at Seneca by exploring the new Artificial Intelligence (GenAI) Policy. Also, check out Microsoft’s GenAI tool Copilot, approved for use at Seneca.