AI and Academic Integrity 2026
Thursday 11 June 2026
Virtual Conference
The AI and Academic Integrity Conference 2026 will explore how universities can design robust, future-ready approaches to teaching, assessment and academic integrity that both uphold academic standards and prepare students to learn, think and succeed in an AI-enabled world.
The Conference will explore practical strategies for:
Designing AI-resilient assessment and feedback
Supporting students to develop ethical and effective AI practices
Building AI literacy as a core graduate capability
Moving institutional policy beyond detection and enforcement
Ensuring academic integrity remains central to learning in an AI-enabled world
Why attend the conference?
Assess how your institution can redesign assessment, policy and learning approaches to maintain academic integrity while supporting responsible and effective student use of AI
Discover practical approaches for embedding AI literacy, ethical decision-making and transparent assessment practices across teaching, learning and academic governance
Develop a roadmap for building sustainable institutional strategies that protect academic standards while preparing students to thrive in an AI-enabled future
Confirmed Speakers
Dr Chelle Oldham
University Academic Integrity Co-Lead
The Open University
Professor Naomi Winstone
Professor of Educational Psychology
University of Surrey
Professor Mary Richardson
Professor of Educational Assessment
University College London
Professor Mary Davis
Academic Integrity Lead
Oxford Brookes University
Agenda
09:30 am
Chair’s Welcome Address
Steph Tindall
Head of UK and International Membership Delivery
Quality Assurance Agency for Higher Education (CONFIRMED)
09:40 am
The Impact of GenAI on UK Higher Education: A QAA State of the Nation Project
QAA have been leading a State of the Nation project exploring how generative AI is impacting assessment across UK higher education
Drawing on student focus groups, staff roundtables, sector evidence and QAA’s external review activity, the aim is to build a comprehensive picture of current practice
The focus is on how assessment practices, academic integrity frameworks, institutional approaches and student behaviours are evolving in response to widespread AI use
The session will cover key themes emerging from this work as a preview to a QAA policy report on GenAI and assessment due to be published in the summer, which will support the agency's wider work to maintain standards and improve assessment practice across the sector
Ciaran Donaghy
Lead Policy Officer (Devolved Nations)
Quality Assurance Agency for Higher Education (CONFIRMED)
Rebecca Robinson
Data Analyst (Higher Education Insight)
Quality Assurance Agency for Higher Education (CONFIRMED)
10:10 am
Redesigning Assessment in the Age of AI
Many traditional assessment formats are no longer reliable indicators of learning in an AI-enabled environment.
This session will explore how institutions can redesign assessment to ensure validity and authenticity:
The emergence of hybrid assessment models combining secure and AI-enabled tasks
Designing assessments that demonstrate process, reasoning and critical thinking
Embedding authenticity and real-world application into assessment design
Professor Lydia Arnold
Professor and Associate Pro Vice-Chancellor (Learning, Teaching and Digital)
Harper Adams University (CONFIRMED)
10:50 am
Break and Networking
11:05 am
Teaching Ethical AI Use: Supporting Students with Transparency
Students increasingly rely on AI tools in their academic work—but many lack clear guidance on how to use them responsibly.
This session will explore institutional approaches to teaching ethical AI practice:
Helping students understand acceptable, risky and inappropriate AI use
Developing accessible frameworks for ethical decision-making
Using transparency tools to support integrity
Designing guidance that evolves alongside rapidly changing AI tools
Professor Mary Davis
Academic Integrity Lead
Oxford Brookes University (CONFIRMED)
11:45 am
Rethinking “Original Work” in the Age of Human-AI Collaboration
What does originality mean when knowledge production increasingly involves AI tools?
This session will explore the evolving concept of originality in higher education:
Why the traditional idea of “100% human-generated work” is becoming increasingly difficult to define
The tensions between academic integrity, collaboration and AI assistance
How assessment validity may provide a better framework than originality alone
Moving institutional policy away from a “police-catch-punish” mindset toward supporting learning and development
Dr Chelle Oldham
University Academic Integrity Co-Lead
The Open University (CONFIRMED)
12:25 pm
Break and Networking
1:00 pm
Black Box Assessment: Giving students credit for process over polish
How can contemporary assessment capture valid evidence of learning in an AI-enabled world? Rather than focusing solely on task-based approaches to academic integrity, Black Box Assessment shifts attention to the process of learning itself.
This session introduces Black Box Assessment as a practical, adaptable framework that enables educators to:
Design assessments that foreground the learning journey, not just polished final outputs
Recognise and reward students’ engagement with error, shifts in thinking, and moments of insight
Support meaningful, transparent use of AI as part of authentic disciplinary practice
Professor Naomi Winstone
Professor of Educational Psychology
University of Surrey (CONFIRMED)
1:50 pm
Break and Networking
2:05 pm
Learnings from the Two Lane Approach
Professor Danny Liu
Deputy Vice-Chancellor (Education) Portfolio
University of Sydney (CONFIRMED)
2:45 pm
The AI-Literate Graduate: What Capabilities Should Universities Be Assessing?
As AI transforms the workplace, universities must ensure graduates understand how to work effectively with AI.
This session explores the foundations of the AI-literate graduate:
Embedding AI literacy into programme-level learning outcomes
Assessing conceptual understanding, ethical awareness and applied AI capability
Using AI-supported projects, simulations and peer review in assessment
Balancing AI capability development with academic integrity
Professor Mary Richardson
Professor of Educational Assessment
University College London (CONFIRMED)
3:25 pm
Conference Close & Key Takeaways
What academic integrity will look like in the next five years
The shift from detection to assessment transformation
The leadership decisions universities must make now
Practical next steps institutions can begin implementing
Audience
This Conference is designed for higher education professionals responsible for academic integrity, assessment design, teaching delivery and quality assurance in higher education. Those in attendance will include:
Pro Vice-Chancellors (Education, Learning & Teaching
Directors and Heads of Academic Quality, Standards and Governance
Academic Integrity Leads and Academic Conduct Officer
Directors and Heads of Teaching and Learning
Heads of Educational Development and Academic Practice
Academic Registrars and Registry Leaders
Programme Directors, Course Leaders and Lecturers
Secure Your On Demand 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