AI and Academic Integrity: What Next?
Thursday 20th March 2025
9:30 am - 3:40pm
Virtual Conference
This Conference will explore how universities can support academic integrity in the age of generative AI. Participants will consider the latest approaches to rethinking teaching and assessment design to maintain robust learning outcomes, whilst embracing the potential of AI in learning.
The Conference will:
Examine how universities can rethink approaches to maintaining academic integrity in the age of generative AI
Discuss the next steps in designing assessment and feedback structures to reflect advancing AI capabilities
Offer fresh insights on unlocking the opportunities for AI within teaching and assessment
Share practical ideas for supporting students to develop the building blocks of knowledge, skills and understanding that will allow them to thrive as AI-literate graduates
Why attend the conference?
Learn how universities are enhancing approaches to academic integrity
Gain the tools for redesigning assessment and feedback in your institution
Build your approach to embedding AI into teaching and learning
Agenda
09:30 am
Chair’s Welcome Address
Professor Kathleen Armour
Vice-Provost (Education & Student Experience)
UCL (CONFIRMED)
09:40 am
The Big Questions on Generative AI, Academic Integrity and New Approaches to Impactful Assessment
How are students using generative AI in their learning now and how do we ensure assessment reflects real-life applications?
Leading the shift from detection and prevention; to adapting and embracing AI in assessment
How do we rethink teaching delivery and assessment design to support academic integrity?
What does generative AI in learning mean for quality assurance and student outcomes?
What are the practical steps for academic leaders rethinking how assessment works in their institution?
Roscoe Hastings
Director of Teaching Excellence and Student Experience
University of Exeter (CONFIRMED)
Nick Holland
Head of Quality and Standards
Office for Students (CONFIRMED)
Dr Anna Michalska
Associate Professor and Academic Integrity Lead
Warwick Business School, University of Warwick (CONFIRMED)
Professor Bugewa Apampa
Pro-Vice Chancellor Education & Experience
University of East London (CONFIRMED)
Simon Bullock
Quality and Standards Specialist
QAA (CONFIRMED)
Dr Jonathan Eaton
Pro Vice-Chancellor (Learning & Teaching)
University of Cumbria (CONFIRMED)
10:40 am
The Building Blocks for the AI Literate Graduate
Hear from the UK’s first Pro Vice Chancellor for Artificial Intelligence as Professor Shushma Patel explores:
How do we test student’s AI capabilities?
How we do we embed AI into learning outcomes?
What should an AI-led assessment look like?
Professor Shushma Patel
Pro-Vice Chancellor for Artificial Intelligence
De Montfort University (CONFIRMED)
11:10 am
Break and Networking
11:30 am
Why We Can’t Outdesign AI: What Next on Assessment Development?
Why rapid development of generative AI will mean any form of take-home assessment will not be ‘AI proof’
How to embrace AI-student collaboration as part of the assessment process whilst ensuring students have met the learning outcomes
Developed a ‘two lane’ approach to assessment to support both assured ‘assessment of learning’ and embracing AI through ‘assessment as learning’
A practical guide to embracing AI in assessment redesign and what this has looked like at the University of Sydney
Professor Danny Liu
Educational Innovation Team, Office of the Deputy Vice-Chancellor (Education)
The University of Sydney (CONFIRMED)
12:10 pm
What Do We Mean by Originality? How Do We Evolve?
What do we mean by “original work” in a time when knowledge production becomes increasingly collaborative, distributed, and AI-mediated?
If a student uses generative AI to assist in their work, does that necessarily mean the student’s work is no longer original or independent? How do teachers make their evaluative judgements when grading students’ work?
The talk focuses on the impoverished concept of originality that permeates many institutional policies and reflects on the meaning of original student work in the rise of generative AI.
Dr Jiahui Luo (Jess)
Assistant Professor at the Department of Education Policy and Leadership
Education University of Hong Kong (CONFIRMED)
12:40 pm
Break and Networking
1:20 pm
Lessons on Generative AI from 900 Scripts: Why Detection isn’t the Answer
Building on a pioneering research project from the Open University and NCFE on the impact of generative AI on assessment, this session will examine:
Findings from 900 scripts on what generative AI is capable of in passing and responding to assessment processes
Why AI detection isn’t a viable control on its own
How generative AI tackles questions and the form of assessments it succeeds with
New approaches to assessment design and marking that go beyond the successful core of responses from generative AI
Liz Hardie
Lead Researcher on Open University/ NCFE Research Project
Senior Lecturer in Law, The Open University (CONFIRMED)
Jonquil Lowe
Researcher on Open University/ NCFE Research Project
Senior Lecturer in Economics and Personal Finance, The Open University (CONFIRMED)
1:50 pm
Generative AI and Assessments: A Review of the Evidence So Far
This session will summarise the findings of a review of the nascent literature on generative AI and assessments conducted at Birmingham Law School. It will look at:
The capacity for generative AI to simulate student responses to various types of assessment
Characteristics of AI writing
The limits of detection and technological solutions
Suggested ways forward for rising to the challenge
Dr Alexander Latham-Gambi
Generative AI and Education Lead
Birmingham Law School (CONFIRMED)
2:20 pm
Break and Networking
2:40 pm
Fostering Academic Integrity by Adopting a Multidimensional Systemic Approach to Feedback
Holistic Feedback Integration: Develop a comprehensive feedback framework that combines evaluative, descriptive, and developmental feedback to address academic challenges and enhance learning outcomes
Standardised and Transparent Processes: Establish consistent feedback practices across modules and programs, reducing ambiguity and reinforcing academic expectations
Feedback as a Learning Tool: Use feedback to promote critical thinking, self-reflection, and ethical academic practices, empowering students to engage meaningfully with their work
Embedding Ethical Standards: Align feedback mechanisms with principles of academic integrity, fostering a culture of accountability, originality, and responsible scholarship
Dr Patrick Harte
Head Taught Postgraduate Programmes
Edinburgh Napier Business School (CONFIRMED)
Dr Fawad Khaleel
Head of Global Online
Edinburgh Napier Business School (CONFIRMED)
3:10 pm
Supporting Students with Making Ethical Decisions in their Use of AI
This session will present an institutional approach to helping students to make ethical decisions when they use AI in their learning and assessment through:
Introducing a traffic light model to guide ethical decisions with a 'stop, check, go' approach to practice
Identifying acceptable, at risk and unacceptable use of AI in a range of student scenarios
Examining the impact of this intervention through student and staff evaluation
Professor Mary Davis
Academic Integrity Lead and Professor (Education and Student Experience)
Oxford Brookes University (CONFIRMED)
3:40 pm
Conference Close
*Programme subject to change
Audience
This Conference is designed those engaged in academic integrity, assessment and teaching delivery. Those in attendance will include:
Academic Integrity Leads
Heads of Academic Conduct
Directors of Teaching and Learning
Heads of Teaching and Learning
Heads of Quality Assurance
Heads of Faculty or Department
Provosts
Deans
Pro Vice Chancellors
Course Leads
Lecturers
Secure Your Ticket
HE and Public Sector
£195 + VAT
Private Sector
£395 + VAT
HE Team of 3
£526.50 + VAT
For group discounts and enquiries about your registration please contact us on enquiries@heprofessional.co.uk