Wednesday 10th July 2024
9:20am - 3:20pm
Virtual Conference
This practice-led Conference will offer the latest solutions for universities exploring how they can manage the challenges generative AI presents to academic integrity.
Building on the latest research, attendees will explore approaches to identifying AI-led academic misconduct, how to document, process and investigate breaches of integrity and examine what really works in preventing inappropriate use of generative AI.
The Conference will also assess what the age of ‘post plagiarism’ looks like in higher education and how universities will need to rethink approaches to course delivery and assessment as generative AI becomes further entrenched.
Objectives
Learn how to approach AI-led misconduct
Explore the limitations of AI detection tools and how to build an evidence base in cases of malpractice
Gain insights on redesigning assessment practices to reflect the realities of generative AI’s development
Examine what is working on the ground in universities to support a preventative approach that teaches students the value of academic integrity
Analyse what the ‘post plagiarism’ era means for universities and how they should respond
Headline Speakers
Dr Fawad Khaleel
Head of Global Online
Business School of Edinburgh Napier University
Professor Karen Heard-Lauréote
Principal Consultant in the Enhancement of Educational Practices
Professor Mary Davis
Academic Integrity Lead and Professor (Student Experience)
Oxford Brookes University
Agenda
9:20 am
Chair’s Welcome Address
Professor Janice Kay CBE
Director, Higher Futures
Special Advisor to Vice Chancellor, University of Exeter (CONFIRMED)
9:30 am
Maintaining Academic Standards Amid the Proliferation of Generative AI: What Next?
The state of academic integrity: the challenge generative AI is posing for the sector
Designing policy and practices that are fit for the age of Gen AI
Collaborating with students to develop support, build AI literacy and demonstrate the value of academic integrity
Enhancing approaches to identifying and detecting misconduct through AI
Reimagining course delivery, teaching and assessment to ensure rigour in academic standards
Ailsa Crum
Director of Membership, Quality Enhancement and Standards
QAA (CONFIRMED)
10:00 am
Exploring the Opportunities on AI and Academic Integrity
Key challenges brought by AI in Academic Integrity
What should be we assess in the AI context?
What are the key opportunities for academic colleagues and students to address Academic Integrity in the context of AI?
Professor Yanguo Jing
Dean and Professor in AI
Leeds Trinity University (CONFIRMED)
10:30 am
Supporting the HE sector in the Era of AI
Vic Stephenson
Senior Consultant (Education)
Advance HE (CONFIRMED)
10:50 am
Break
11:00 am
The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating
Approaches on assessing originality for academic departments
Why most institutions won’t use unproven AI detection software
The mounting resources and costs in tackling cases of suspected misconduct through AI platforms
The administrative burden posed by mounting evidence and developing the case for an investigation
Understanding where the growth in misconduct exists and the form of assessments where it is most prolific
Action points for academic leaders in managing costs on AI-driven misconduct and rethinking provision to reduce occurrences
Dr Fawad Khaleel
Head of Global Online
Business School of Edinburgh Napier University (CONFIRMED)
11:30 am
Assessment Security: How to Redesign Assessment in the Age of Generative AI?
The risks to assessment security and how traditional assessment forms are being compromised
How to develop a new approach to allow students to demonstrate their skills and knowledge, not their ability to use Chat GPT
What constitutes a meaningful measure of learning in the generative AI age?
Building staff’s understanding of AI’s capabilities and how assessment security can be breached
How do we design a new approach to assessment that mitigates risks from generative AI?
Professor Phil Newton
Professor of Medicine and Lead, Evidence-Based Education
Swansea University (CONFIRMED)
12:00 pm
Beyond Detection: What it Takes to Build an Effective Evidence Base for Successful Investigations?
Supporting a culture of integrity around detection, decisions and documentation
The tools needed for effective reporting: does an academic have the time and will to report suspected AI-led plagiarism?
Understanding what evidence is needed to prove academic misconduct and how a department can build an evidence base
Designing a structure for fair investigations based on clear documentation of AI misconduct
The practical questions for departments in improving their documentation and investigation processes
Dr Irene Glendinning
Academic Integrity Lead
Coventry University (CONFIRMED)
12:30 pm
Break
1:10 pm
Understanding the Limitations on AI Detection and How Institutions Should Respond
Why AI text detectors will become redundant
The inaccuracies and uncertainties in developing real conclusions on AI detection
How do we detect AI usage beyond software tools?
The resources and skills needed to effectively identify and investigate inappropriate use of AI
Robin Crockett
Academic Integrity Lead
University of Northampton (CONFIRMED)
1:30 pm
Championing Academic Integrity in the Age of Artificial Intelligence (AI): Warwick Business School's Approach
The principles that guide us: reacting to AI
Students as partners: engaging students in a debate
AI and assessment design: recognising AI is here to stay
Dealing with real-life cases: detection and evidence gathering
Dr Anna Michalska
Academic Integrity Lead
University of Warwick, Warwick Business School (CONFIRMED)
1:50 pm
Break
2:10 pm
Bringing Equality, Diversity and Inclusion to Academic Integrity in the Age of AI
Co-creating shared understandings of academic integrity and ethical use of AI in academia
Developing academic practices which are appropriate and adaptive to the 'post plagiarism' era
Integrating equitable practices for access to resources to arrest, not encourage, digital gaps
Embed culturally responsive inputs from diverse stakeholders to create/review academic integrity policies
Dr Patrick Harte
Head Taught Postgraduate Programmes
Edinburgh Napier Business School (CONFIRMED)
2:30 pm
Tackling Academic Misconduct on the Ground: What Really Works?
Responding to the new realities of ‘hybrid writing’ and the integrating of AI into most platforms
Building awareness and collaborating with students to set clear parameters on the usage of AI
Determining what constitutes misconduct and designing processes to document and investigate malpractice
How can practitioners meaningfully prevent and deter AI-led misconduct?
Dr Stephen Gow
Leverhulme Research Fellow on Student use of AI
Edinburgh Napier University (CONFIRMED)
Professor Karen Heard-Lauréote
Principal Consultant in the Enhancement of Educational Practices (CONFIRMED)
Professor Mary Davis
Academic Integrity Lead and Professor (Student Experience)
Oxford Brookes University (CONFIRMED)
Dr Steph Allen
Principal Academic in Learning Development and Academic Integrity
Bournemouth University (CONFIRMED)
Conference Close
3:20 pm
* Programme subject to change
Audience
This Conference is designed those engaged in academic integrity, assessment and teaching delivery. Those in attendance will include:
Provosts
Deans
Pro Vice Chancellors
Course Leads
Lecturers
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
Pricing
Public Sector
£345 + VAT
Attendance to AI and Academic Integrity
Private Sector
£395 + VAT
Attendance to AI and Academic Integrity
HE Professional
£395 + VAT
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