Generative AI for Students: Ethics & Academic Integrity
Generative AI for Students: Ethics & Academic Integrity is for university students in all subject areas who want to use generative AI tools responsibly in study, research and academic writing.
The course introduces what AI tools can and cannot do, how they may support academic work, and where careful judgement is needed. You will explore issues such as plagiarism, authorship, academic integrity, bias, and data sensitivity, while developing a more critical and reflective approach to AI use.
Through practical examples, you will learn how to evaluate AI tools, recognise their limits, and decide when and how they can be used appropriately in a university context. No prior technical knowledge is required, making the course accessible to learners from any discipline.
By the end of the course, you will be better prepared to make informed choices about AI, use it in ways that support learning, and maintain good academic practice in your own work.
Status: Ethical Standards And Conduct
Ethical Standards And Conduct
Status: Artificial Intelligence
Artificial Intelligence
Intermediate·Course·9 hours
Featured reviews
5.0
·Reviewed Mar 21, 2025
I learned so much from this course about the utilization of AI while still maintaining ethics and academic integrity. It is a course I'll recommend to students, researchers and educators alike.
All reviews
Showing: 7 of 7
All Learners
All Stars
Most Helpful
H
Halima
5.0
·Reviewed Mar 22, 2025
I learned so much from this course about the utilization of AI while still maintaining ethics and academic integrity. It is a course I'll recommend to students, researchers and educators alike.
A
Angel
5.0
·Reviewed Mar 29, 2026
It was a good experience. I learnt a lot
M
Morgan
5.0
·Reviewed Mar 20, 2025
Helpful introduction to the topic
E
Elizabeth
5.0
·Reviewed Mar 30, 2026
Excellent Sessions on AI
D
DANTE
5.0
·Reviewed Jul 7, 2026
Good
W
WENHAO
5.0
·Reviewed Nov 8, 2025
ok
R
Reem
1.0
·Reviewed Dec 27, 2024
The course is very confusing without facts and data. In addition, the quizzes sometimes ask questions that the course did not mention or require to write the answer ourselves which raises the mistake ratio. Finally, it was not clear