Generative AI refers to the use of computers to produce original content, whether text, images, audio, video, etc., based on text prompts and examples that don't require any significant knowledge or creative skills. It is distinct from predictive and analytical AIs that are used to analyse data and come up with a result, such as predicting changes in the stock market or detecting cancer in medical scan images. Generative AI is based on statistical models that are used to convert the input request into an novel output, and while they may seem to have true creativity and understanding, it is simply a convincing illusion. From being a niche technology that few people were even aware of just a handful of years ago, generative AI has become one of the biggest technology trends almost overnight.
Generative AI tools, such as ChatGPT and Midjourney, are quickly becoming commonplace in both academic and professional workplaces and can be used to perform a variety of tasks. These tools can be both transformative and disruptive depending on how and when they are used. Therefore, rather than prohibit the use of Generative AI tools, it is our aim to support staff and students in using them effectively, ethically, and transparently.
Pros and cons of using Generative AI
Pros:
- Answering questions where answers are based on material which can be found on the internet.
- Drafting ideas and planning or structuring written materials.
- Generating ideas for graphics, images, and visuals.
- Reviewing and critically analysing written materials to assess their validity.
- Helping to improve your grammar and writing structure – especially helpful if English is a second language.
- Experimenting with different writing styles.
- Getting explanations of terminology and processes.
- Debugging code you have written.
- Getting over writer’s block.
- Increasing literacy in Generative AI for future employability.
Cons:
- Whilst their output can appear plausible and well written, Generative AI tools frequently get things wrong and cannot be relied upon for factual accuracy.
- They perform better in subjects which are widely written about, and less well in niche or specialist areas.
- Unlike a normal internet search, they do not look up current resources and are therefore some months out of date.
- They cannot currently provide references – they fabricate well formatted but fictitious citations.
- They can perpetuate stereotypes, biases, and Western perspectives.
- There is a harmful human cost to creating and testing these tools, particularly in the global south.
- There is a significant resource and environmental cost to using Generative AI, particularly related to electricity and water
Student use of Generative AI tools
Currently, there is no ban on the use of Generative AI tools in students produced assignments, although it is the decision of the academic if they wish to prohibit the use of AI tools on their assignments. If students are being allowed to use Generative AI tools as part of their assessment, they must describe and reference how and when they have used it.
If you suspect a student has used Generative AI without declaring it, or in a way which conflicts with academic integrity, the standard procedure is to make a contract cheating referral. The same way you would for any suspicion of academic misconduct or malpractice involving work you suspect was not written by the student themselves.
