Generative Artificial Intelligence and Academic Integrity - LIR HEAnet User Group for Libraries
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This presentation for academic librarians considering the impact of ChatGPT and generative artificial intelligence was presented at the “We Need To Talk About AI” event on 7 June 2023. They consider the strengths of limitations of generative AI and the discussions that librarians should be having with students and other educational stakeholders.
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Generative Artificial Intelligence and Academic Integrity - LIR HEAnet User Group for Libraries
- 1. Generative Artificial Intelligence and Academic Integrity Dr Thomas Lancaster Imperial College London UK “We Need To Talk About AI” (7 June 2023) LIR HEAnet User Group for Libraries
- 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. A student pays or uses a third party to complete assessed work for them Contract Cheating
- 4. Many of the interventions the sector have put into place surrounding contract cheating are also relevant for the misuse of artificial intelligence Contract Cheating
- 5. • Generative AI is a technology that generates new, unique content like book summaries or reading suggestions • It operates using a system that improves itself by creating and evaluating its own work, trying to mimic real-world data • It has the potential to enhance library services by creating personalized content or recommendations • However, it's crucial to be aware of ethical issues, as this technology can also create deceptive or false information Generative Artificial Intelligence (not my descriptions)
- 6. “What is generative AI? Explain in short bullet points in a way that's suitable for librarians”
- 7. “Simplify this and reduce this to four main bullet points”
- 8. “Simplify further and make sure the response is tailored to librarians”
- 9. Working with technology like ChatGPT is not always easy or fool proof!
- 10. • Not “intelligent” in the human sense • Trained on large quantities of data • Follows prompts and directions • Can mimic structures and patterns Generative Artificial Intelligence
- 11. • AI does the work – students do not learn • Students do not understand the limitations of AI • Students breach academic integrity The Dangers…
- 12. Working with AI well requires a logical brain
- 13. Working with AI well requires the ability to evaluate and critique information
- 14. • Limited access to current information • Formulaic responses • Numerical answers can be incorrect • List sources that do not exist Possible AI Limitations Note – there are routes around many of these limitations
- 15. What do students say they use ChatGPT for? editing learning ideas translation time saving
- 16. Where does academic integrity come in? editing learning ideas translation time saving
- 18. What Do Librarians Need To Know? Policy – what is allowed? What to do if a student asks about a non-existent source (How) should AI be referenced?
- 19. Let’s make sure that everyone has the tools they need to work with integrity with future AI
- 20. 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