Artificial Intelligence and Academic Integrity

Generative AI is testing the limits of what can be considered independent and honest academic work. And it’s only the beginning.

On the 27th of July, THE (Time Higher Education) conducted a webinar on technology on generative AI and its impact on the existing safeguards that can be set up to protect academic and research integrity, and how it will shape the future.

This webinar was graced with the presence of Dr. Daniel Wang Zhengkui from the Singapore Institute and Technology, Associate Professor Christine Slade from the University of Queensland, Dr. Benjamin Liu from the University of Auckland and Associate Professor Jenny Davis from the Australian National University.

These distinguished speakers pointed out the great opportunity offered by AI as well as the rising challenges of plagiarism cases.

Implementation of AI in education is suggested, yet critical thinking skills should also be taken into consideration, hence the information received from AI can be properly evaluated.

Particularly, the assessment design should be reexamined to reduce plagiarism attempts. For instance, AI can be positively used as a tool for problem-based learning. Furthermore, certain aspects of research – brainstorming and reviewing literature – can also be assisted by AI. However, institutions have to be aware and establish policies to cope with foreseeable issues like copyright of journal articles.

The English team have equipped themselves with knowledge from credible sources like this webinar and are confident to bring those ideas to their classes and into the next round of assessments. These inputs are believed to be important, not only for the English team but for UP and academics as a whole.

We will send the recording to anyone who is interested in this precise discussion.