Skip to Main Content

Generative AI: For Teachers

University Guidelines for use of Gen-AI

The University of Otago guidelines for use of AI can be found here.

DeepLearning.AI Programme

Learn the fundamentals of generative AI for real-world applications in this course from DeepLearning.AI

You will 

  • Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works
  • Dive into the latest research on Gen AI to understand how companies are creating value with cutting-edge technology
  • Receive instruction from expert AWS AI practitioners who actively build and deploy AI in business use-cases today

Further Reading

Assessment in the age of AI

There has been a lot of discussion on the future of assessment in the age of AI, and it is up to you, and your department, to decide on the approach you would like to take. 

This Generative AI Primer by Michael Webb, suggests three strategies, each with their own challenges. This is something you could keep in mind when thinking about assessment in the age of AI. 

Below are several excellent resources on this topic:

ChatGPT and cheating: 5 ways to change how students are graded

Monash's Generative AI and assessment guide

 and , University of Sydney, What to do about assessments if we can’t out-design or out-run AI?

The Assessment and Evaluation Group at Queens University, Canada has created a free Transforming Assessment e-Course for higher education. 

This self-paced, professional learning e-course provides higher education instructors with the opportunity to transform their assessment practices – building on existing assessment knowledge and skills, reflecting on foundational assessment principles, exploring contemporary assessment strategies, and creating new assessments – to support students’ learning across disciplines and contexts.

Academic Integrity Resources

If you feel a student has used AI to breach academic integrity, see the resources below for more information and next steps. 

Who owns the copyright?

Image by Mohamed Hassan from Pixabay

Every Gen-AI model has their own terms of use - be sure to read through them to gain a better understanding on copyright and intellectual property considerations. The University of Adelaide has made a summary of the terms for many major AI tools. If you need clarification, reach out to your Subject Librarian or the University Copyright officer. 

Depending on your use of AI, there are some important things to consider. This is by no means an exhaustive list, and each AI model with have differing practices:

- Any of your research used as a prompt may be used to further train the AI model and it may even become part of its training data set.

- Most AI models are based outside of Aotearoa New Zealand, but your use MUST align with New Zealand laws like Copyright and Privacy. For Copyright: 

  • Section 5(2) has a vague definition of authorship, including from computer generated works, however this can be interpreted in several ways.
  • Also, keep in mind that this act was written prior to the AI boom and is currently in review.

- You can not rely on the Gen-AI outputs to be unique, and it may in fact be plagiarised from already copyrighted works.