With access to generative artificial intelligence and ChatGPT being widely available for students, universities have to consider how students will be supported to operate with academic integrity and work successfully with AI tools. This plenary session, delivered for University of Wales Trinity Saint David, considers academic integrity within this wider context and raises questions and discussions points to be considered with all stakeholders, including students.

1. Assessing with
Integrity for the AI
Generation
Dr Thomas Lancaster
Imperial College London UK
Nexus Academic Integrity Day:
AI Generation, Academic Integrity and Assessment
University of Wales Trinity Saint David

2. Dr Thomas Lancaster
Computer Scientist at Imperial College
London
Academic integrity researcher and speaker
http://www.thomaslancaster.co.uk
Twitter: @DrLancaster
Machine generated image

3. To Think About…
• What exactly is (generative) artificial
intelligence?
• What does academic integrity mean in the
context of artificial intelligence?
• What are the principles of good assessment
that we should consider for the future?
• How do we make sure that students are
supported in this new world?

4. This is a tool

5. This is a tool

6. This is a tool

7. This is a tool

9. Why are we concerned about artificial
intelligence and academic integrity?
1. Ensuring fairness for all
students
2. Protect the reputation of our
institutions
3. Teach and assess in a way
that feels comfortable to us

10. Cheating has always been possible

11. Cheating inspires a
negative reaction

12. Cheating may be due to circumstances and
may not be intentional

13. Do students know when using AI is
acceptable?

14. Two sides of
the
discussion
Reducing
misconduct
Promoting
integrity

15. Can we relate the discussion to the Fundamental
Values of Academic Integrity?
(https://www.academicintegrity.org)
honesty respect fairness
responsibility trust
courage

16. What can we do
with generative
AI?

17. Quick examples of
ChatGPT aided output
from my Twitter account
@DrLancaster

18. AI makes
associations
Prompt: artificial intelligence cartoon, futuristic, simple colors, wales, professional

19. • AI is not intelligent. It follows prompts and directions.
• AI can be powerful, if the user understands how to
use it.
• AI mimics structures and patterns based on the
information it was trained on.
• AI output has a random quality to it and can make
mistakes.
Some Truths About Generative AI

20. https://www.memecam.io

21. Proficient use of AI is
very hard to detect

22. Students are not
generally proficient
users of AI

23. AI options and
abilities are
improving all
the time

24. Isaac Editor

25. How do we teach and
assess writing as a core
skill?

26. ignore
options ?
educate
embrace ban

27. AI is everywhere

28. ignore
options ?
educate
embrace ban

29. Assessment Design Principles
Could someone other than the
student complete this
assignment?
Could something other than the
student complete this
assignment?

30. FAIR AI Use in Assessment
Foundational
Can work
without AI and
can demonstrate
core skills
Appreciative
Able to evaluate
the quality of
information
produced
Illuminative
Uses AI to learn,
suggest ideas,
clarify, and
improve
Replaceable
Directs AI to
complete
assessments,
and can evaluate
the output

31. Adapting For The Future

32. Is computer
programming a
core skill for the
future?
(or what are the core skills
for your discipline?)

33. How are students
being involved in
the discussion
about their future?

34. How do we ensure that
everyone has the tools
they need to work
proficiently with future
AI?

35. Can we ensure that
academic integrity is at
the forefront of the
future discussion?

36. Connect With Dr Thomas Lancaster
My Email: thomas@thomaslancaster.co.uk
My Website: http://thomaslancaster.co.uk
My Blog: http://thomaslancaster.co.uk/blog
My LinkedIn: https://uk.linkedin.com/in/thomaslancaster
My Twitter: @DrLancaster
Slide Archive: http://www.slideshare.net/ThomasLancaster