My policy on Generative AI (such as ChatGPT, Claude, or other other Large Language Models (LLM)) is a simple one:
Treat Generative AI as a helpful person, such as a parent or a friend.
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What does this mean for class attendance?
❌ You are not allowed to ask it to attend class and take notes for you.
I can understand that having a parent or friend attend class with you to take notes might help your learning, but there are already policies in place for students that face difficulties with meeting basic expectations. Such requests should be made in advance and solutions found that take into consideration students that are capable of doing their own note taking. There is also a proprietary issue whereby class materials are not supposed to be made public or used for AI training purposes. In the same way that we don’t record live sessions, we don’t invite outsiders unless there’s a specific pedagogical reason.
What does this mean for studying?
✅ You are allowed to ask it questions for revision purposes.
❌ You are not allowed to upload course materials.
Course materials are proprietary content and unless explicitly stated should not be used outside of the classroom.
What does this mean for written assessments?
✅ You are allowed to ask it questions.
✅ You are allowed to get advice on writing.
❌ You are not allowed to submit any text that it generates as your own work.
❌ You are not allowed to submit any text into another piece of software that rewrites it.
The issue here is attribution and accountability. An attribution of authorship carries with it accountability for the work, which cannot be effectively applied to Generative AI. When you submit a piece of assessment the aim is to establish your unique understanding, as opposed to the understanding of someone else. This means that while you can use a wide variety of inputs to provide help, any output needs to be generated, and “owned” by yourself.
If you have found a way to automate your work, such that anyone (or anything) else can follow the steps that you take and create the same output, you have succeeded in finding efficiencies. You have possibly even generated important knowledge. But you have failed to complete the assignment you were set. Your formal assessment is intended to establish your ability, as a human, to complete the task. Formal assessment is not intended to establish your capability to use technology to meet an objective. That is why submitting other people’s work (whether it’s your parents, your friends, or from Generative AI) is fraud.
An inaccurate analogy would be to treat Generative AI like software, such as Microsoft Word. It is obviously not cheating to type answers in a word processor, or use spelling or formatting advice to improve your work. Unlike Word, however, Generative AI goes beyond helping your writing to actually help with content. Also, the fact that you can use an integrated spell checker is a function of an assignment being digital. If it is a handwritten essay then you may be permitted to use a dictionary, but you may not. A finance exam may permit a formula sheet, it may not. A maths exam may permit a calculator, it may not. There are all choices made by the instructor based on the learning objectives of the course. If standard software becomes integrated with AI this may blur the line, but as things stand it seems clear to me that using AI remains a choice and therefore its use should be related to the instructors objectives.
It is clear that assessment design needs to be updated due to AI. But not because anything has fundamentally changed – contract cheating has always been a problem. Rather, the costs have become so much lower the practice has become much more widespread. Examples of good assessment methods in an age of AI include:
- Oral exams or group presentations
- Invigilation
- Strict time limits
- Use of images rather than text (for instructions as well as deliverables)
- Handwritten exercises
- Relating assessment to proprietary content (e.g. idiosyncratic or otherwise distinct course materials that differ from standard textbooks, group activities, or other events such as guest lectures that don’t have a transcript)
- Requiring students to connect concepts to personal experience or original examples
- Adopt a multi-stage approach where students submit preliminary drafts for feedback and build on their work over time
- Good training and an honour code
Generative AI is more of an oracle than a piece of software, which is why I think it’s better to imagine it as a helpful person. Or, as Cowen and Tabarrok (2023) say in this very useful article about how to use ChatGPT,
“It resembles collaborating with a bright and knowledgeable research assistant, albeit one from a different culture.”
Their advice includes:
- Be specific with your prompts.
- Ask for comparisons and contrasts.
- Ask for lists.
- Ask follow up questions.
I also recommend developing some custom instructions. Here are Eli Dourado’s.
I recommend this article:
Writing is thinking. So don’t cheat yourself

AI should NOT be used for management decisions. Again, it comes down to accountability.
And I like this graphic:

Relevance for your thesis
If you decide to use Generative AI in your thesis you should be honest and open about it, and provide an appropriate discussion in the Methods section (or, if a Methods section is not used, a suitable alternative part) of the manuscript. That will allow your advisor and committee to establish whether your use is appropriate. If you decide to use Generative AI but don’t explain how, this is fraud. In some cases, it may be that use of Generative AI is so heavy it warrants being a co author. This is fine if you list Generative AI as a co author, and you can do this for other types of work, but a thesis or other formal assessment must be single authorship.
Finally, ethical behaviour is important. Therefore:
- Just because other people are doing something wrong, this doesn’t mean that you should.
- A thesis isn’t just about producing the best piece of work, it’s about demonstrating your knowledge of research methods (which includes ethical design and execution) as well as your ethical decision making.
- If you’re not sure, ask for help.
Don’t forget that the original excitement about AI was how it quickly and easily helped mediocre students imitate good students. If this is your situation then I can understand why it is an exciting tool. But I am more interested in your personal development than your ability to mimic others. Therefore I resist pressure towards conformity and advocate authentic work that is accountable. I prefer Human Authenticity over Artificial Intelligence.
Updated May 2025