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Society & Work5 min read

Australian universities weigh AI marking risks, staff warn of 'slop-cycle'

Australian universities are divided on whether to allow academic staff to use generative AI for marking student assignments. While institutions like Western Sydney University, Deakin, and RMIT permit limited use to support efficiency, critics warn this could lead to a "slop-cycle" where AI-generated work is graded by AI, undermining the value of degrees. Armin Alimardani, a senior lecturer at…

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Key points

  • Western Sydney, Deakin, and RMIT allow limited AI use in marking, while Sydney, Melbourne, and NSW ban it.
  • Lecturer Armin Alimardani warns AI marking risks 'verification drift' and could collapse higher education value.
  • QUT staff express concern over 'assessment uplift project' emails, fearing job redundancy and reduced human oversight.

Other major institutions, including the University of Sydney, Melbourne, and NSW, have drawn a firm line against using generative AI for grading, even as they allow it for other classroom tasks. Monash University stated it does not currently use AI in marking but is exploring programmatic approaches to assessment. At Queensland University of Technology, internal emails about an "assessment uplift project" have sparked widespread concern among staff, particularly sessional academics who rely on marking for income. Students also express strong opposition, with one QUT student stating they would not pay for a degree marked by AI, emphasizing the importance of human feedback and interaction in higher education.

Full story from The Guardian AI · by Joe HinchliffeOpen source ↗

Academics and AI marking: a welcome aid for overworked staff or a sloppy shortcut?

The Guardian AI · 27 September 2026

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This text was published by The Guardian AI and written by Joe Hinchliffe. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Armin AlimardaniAlex Cameron

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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