What is the future of feedback in the age of ArtificiaI Intelligence?
8 January 2026
Wednesday 18 February at 6pm
CRADLE Seminar Series 2026: Seminar #1
In our first seminar for 2026, Professor Margaret Bearman will facilitate a discussion with some of the team that created the manifesto for feedback in the age of AI.

- When: Wednesday 18 February 2026
- Time: 6pm – 7pm (AEDT) / 7am – 8am (GMT)
- Where: Online
- Cost: This is a free event
Manifesto for feedback in the age of artificial intelligence
In May 2025, seventeen researchers with expertise across higher education, health professional education, feedback and digital education came together to discuss future directions for feedback research at the University of Copenhagen.
Out of these conversations, a working party constructed a manifesto for feedback in the age of artificial intelligence, led by Professor Naomi Winstone from the University of Surrey. This always-in-progress document offers a values-led compass to guide decision making as educators and institutions are faced with as-yet-unknown futures where AI can be integrated into feedback processes.
In this panel, we interrogate potential future scenarios, and then ‘test’ the manifesto against a series of provocations offered by these possible futures.
Join our panel online for a thought-provoking conversation
About our panellists
Professor Naomi Winstone, Professor of Educational Psychology, University of Surrey
Associate Professor Karen Gravett, Associate Head (Research) at the Surrey Institute of Education, University of Surrey
Associate Professor Christy Noble, Associate Professor of Medical Education (Assessment of Clinical Skills), University of Queensland
Dr Anna Jones, Reader in Medical Education and Faculty Development Lead, School of Medical Education, King’s College London
Associate Professor Kelli Nicola-Richmond, Associate Head of School Teaching and Learning, School of Health and Social Development, Deakin University
Professor Margaret Bearman, Research Professor with CRADLE, Deakin University
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