News

Cadmus’s established AI detection capabilities combat ChatGPT

Share with colleagues

Download the full Case Study

Take an in-depth look at how educators have used Cadmus to better deliver assessments.

Thank you!

We'll get back to you shortly.

As the higher education sector pivots to implement solutions and policies that mitigate students’ use of artificial intelligence platforms such as ChatGPT to generate assessments, Cadmus continues to support universities globally with long-established and sophisticated academic integrity capabilities.

Used in 50+ countries, Cadmus is the world’s first authentic assessment for learning platform developed in partnership with the University of Melbourne, purposefully built with sophisticated learner analytics to support and detect the authenticity of students’ work.

Herk Kailis, Chief Executive Officer of Cadmus, said of the recent uptake of popular AI platform ChatGPT, “Students using AI-generated content to develop their assessments and present this as their own is another form of contract cheating, and the Cadmus platform has already been long developed to detect this.”

“Within Cadmus, educators have access to real-time analytics, which monitor the process around students’ development of their assessment rather than trying to catch AI-generated content at the point of submission. Educators can identify how many hours a student has spent writing their assessment in Cadmus, if the work was copied and pasted or transcribed into Cadmus, and the source from which the work originated.”

The University of Melbourne, Australia’s highest-ranked university and member of the Group of Eight (Go8), said they would continue to rely on Cadmus’s platform capabilities to support them through this wave of innovation.

“The institution will continue to partner with Cadmus to improve assessment methodology and combat contract cheating. Cadmus is now a market-leading solution that helps academics to develop and deliver authentic assessment and minimise academic integrity risks by addressing the problem ‘at the source’ – that is, during the student’s engagement in their assessment task.”

“Because students must develop their assessment responses within the Cadmus environment, it provides a high level of certainty over the authenticity of the work presented for grading,” said David Israel, Director of Educational Innovation and Commercial Development at the University of Melbourne.

In the United Kingdom, Vice Dean for Teaching, Learning and Students at the University of Manchester, Professor Gabrielle Finn, said “The University has commenced education sessions and briefings with academics on how best to utilise Cadmus analytics to identify the authenticity of students’ work. Digital evolution of platforms such as ChatGPT won’t go away; they will only become more sophisticated. This reinforces the need for higher education to move to authentic, real-world assessment practices, so we can embrace digital innovation as it continues to arise.”

Already underway, the Cadmus product team are developing preventative measures to help students understand the limitation of using tools such as ChatGPT. For educators, access to richer analytics is being prioritised to help identify assessment submissions that have been created inauthentically. Both will be released in time for Semester 1, 2023.

Media Contact: Chief Marketing Officer, Bess Brennan, Bess@cadmus.io

Category

Product

Student Success

Academic Integrity

Company

More News

Load more
Why universities agree with design-led integrity—but still struggle to move beyond detection

Academic Integrity

Leadership

Why universities agree with design-led integrity—but still struggle to move beyond detection

In this piece, Nick Bareham explores the gap between institutional belief and purchasing behaviour—and why procurement inertia, not lack of awareness, is slowing the shift to design-led integrity. From hidden reputational risks to the coming platform transition in assessment, this is a clear-eyed look at what’s really holding the sector back—and what it will take to move forward.

Nick Bareham, Chief Growth Officer, Cadmus

2026-04-27

Using data to identify at-risk students early

Student Success

Using data to identify at-risk students early

A practical piece for educators on identifying at-risk students earlier by looking beyond final submissions. It shows how process-level signals, such as engagement patterns, drafting behaviour, and time-on-task, provide a clearer view of student progress, and how to act on those signals through early check-ins and more targeted support.

Cadmus

2026-04-20

What a design-led model of academic integrity actually looks like in practice

Academic Integrity

Leadership

What a design-led model of academic integrity actually looks like in practice

In this piece, Cadmus Co-CEO Brigitte Elliott puts language to a growing shift in the sector: from treating academic integrity as a compliance challenge to understanding it as a function of assessment design. Drawing on decades of research, she outlines how institutions can move beyond detection-led responses and build systems that produce verifiable learning by design.

Brigitte Elliott, Co-CEO, Cadmus

2026-04-13