OpRaise: Opportunities and Potential Risks of AI in Supporting Evaluation
- tgwm49
- 6 days ago
- 8 min read
Updated: 17 hours ago
As AI continues to advance, concerns are growing about its impact on traditional grading systems across the HE sector. AI models are now capable of writing essays and providing detailed feedback that is improving rapidly, raising questions about how universities should adapt to this technology.
OpRaise (opportunities and potential risks of AI in supporting evaluation) aims to transform higher education assessment by establishing an evidence-based framework for integrating AI into academic evaluation processes.
To do this, the winning team will systematically analyse a comprehensive corpus of university essays from summative assessments in UK Universities. The team will compare expert academic evaluations against assessments from multiple AI systems, varying prompting strategies to optimise AI performance. By analysing the differences between human and AI assessments the goal is to develop targeted interventions to enhance AI effectiveness.
This project is supported by Accelerate Science and ai@cam, the University’s flagship mission on AI for science, citizens and society.
This challenge-led programme is part of the AI-deas initiative, ai@cam’s incubator for challenge-led AI research that tackles major scientific and societal challenge.
OpRaise Team
Senior Fellow of the Higher Education Academy, Associate professor and Director of Curriculum Development, Department of Psychology, University of Cambridge; Director of Studies in Psychology, Lucy Cavendish College
Fellow of the Higher Education Academy, Assistant Professor, School of Psychology, University of Nottingham
Assistant Professor, Politics and International Relations, University of Nottingham and Centre for the Study of Existential Risk, University of Cambridge, UKRI Policy Fellow at the Department for Science, Innovation and Technology and co-director Institute for Replication
Senior Lecturer and Equality and Diversity Lead, Department of Psychology, Manchester Metropolitan University
Postdoctoral Research Associate, Leverhulme Centre for the Future of Intelligence, University of Cambridge
Lecturer, School of Engineering and Computing, University of Central Lancashire
Senior User Experience Researcher at the University of Cambridge
Principal Researcher, OCR, UK Education. Cambridge University Press & Assessment
Research coordinator, University of Cambridge
OpRaise Advisory Board
Senior Members:
Student Members:
Yashraj Garg, University of Cambridge
Grace Macewan, Manchester Metropolitan University
Rowan Meijer , University of Nottingham
OpRaise Events
Hopes & Fears lab - April 3rd 2025
Dr. Deborah Talmi recently participated in "The Hopes and Fears Lab: AI Edition," an engaging public dialogue event held at The Copper Kettle on King's Parade on April 3rd, 2025. As part of this Cambridge Festival initiative, Dr. Talmi joined fellow AI researchers to facilitate meaningful conversations with community members about the future of artificial intelligence. Through informal discussions, attendees explored both the promising benefits and potential concerns surrounding AI technologies that increasingly shape our daily lives. The event, organised in collaboration with the University of Cambridge, Kavli Centre for Ethics, Science, and the Public, Isaac Newton Trust, and AI@Cam, successfully created an accessible space where public perspectives could inform the responsible development of AI.
AI and Assessment workshop: Navigating Ethical Implementation and Future Possibilities – June 23rd, 2025
The OpRaise team is pleased to announce our participation in the upcoming workshop "AI and Assessment: Navigating Ethical Implementation and Future Possibilities" on June 23rd, 2025. Hosted at the Faculty of Education, University of Cambridge, our researchers will facilitate a workshop exploring the ethical dimensions of AI-supported evaluation practices. This collaborative event, led by the AI & ED Community with partners including Cambridge University Press & Assessment, AI@Cam, Accelerate Science, and Google, brings together researchers, educators, and industry professionals to examine approaches that foreground fairness, authenticity, and ethical integrity in assessment systems. The workshop creates a valuable opportunity for our team to share experiences and insights from our research so far, while gaining new perspectives and thinking collectively about these critical issues. We encourage colleagues interested in the future of ethical assessment in the age of AI to join us for this insightful event.
Comentarios