We started this meeting with a discussion about copilot 365, which we are currently piloting. We wanted to use it to create the meeting summary and notes for the session, and have published a separate blog to share how effective this was.
Then moving into our standard lean coffee format, using Padlet this time. Discussion items included:
DPIA for copilot – data protection impact assessment. Looking for anyone who has completed one for their institution to share.
Advice for staff – Discussion mostly around what is acceptable use of AI and the need for staff to have clear guidance of what is/isn’t acceptable. Very difficult to ascertain though as there are so many factors.
Policies are being drafted over and over – policies need to be agile and adaptable as the technology is changing so quickly but this brings more issues as students/staff may work off old policies.
Several doing staff training – examples mentioned included 45 minute sessions of knowledge exchange,
AI translation for international students – On the acceptable use, issues around international students were mentioned – students write assignments in their own language and then google translate into English. Query is this acceptable if they are working towards a dual degree awarded in English? Is it preventing students from developing their English language skills? – reliance on translators
Interesting equity issue – some languages aren’t available in translation apps.
Lack of advice for professional services staff – Guidance needed here – asking for anyone who has created materials to share. Mention of lots of interest from library staff – joining sessions on AI literacy.
Need for senior leadership to be more knowledgeable on AI – We are running a collaborative piece of work with UCISA starting with a roundtable – a start to those conversations
AI and assessment – Challenges around adapting policy mid academic year and the rate of change in technology.
Alternative assessment methods discussed like vivas – important mention that inclusivity and accessibility need to be carefully considered here. Issues around scaling this kind of assessment for 600+ students also.
How is AI being used at primary/secondary level – General interest in finding out more about this.
Next meeting is 18th June at 3.30pm
Resources shared during the session:
- Northampton guidance for staff and students (in development): https://libguides.northampton.ac.uk/GenAIGuidance
- An interesting article about the use of AI in translation: https://www.tandfonline.com/doi/full/10.1080/10875301.2024.2344762
- Buckinghamshire New university student guidance: https://www.bucks.ac.uk/current-students/registry-helpdesk-and-academic-advice/artificial-intelligence-guidance-students
- University of Nottingham student guide: https://xerte.nottingham.ac.uk/play_46905
- University of Nottingham staff guide: https://uniofnottm.sharepoint.com/sites/AIatUoN
- Imperial College student guidance: https://www.imperial.ac.uk/students/academic-support/ai-and-study-guidance-hub/
- Imperial College staff guidance: https://www.imperial.ac.uk/about/education/resources/ai-education-hub/
- An example of an assessment based on critiquing an AI generated essay: https://www.youtube.com/watch?v=yL_at_yXno0
- JISC AI assessment toolkit: https://repository.jisc.ac.uk/9234/1/assessment-ideas-for-an-ai-enabled-world.pptx
- Link to GPT4o: https://openai.com/index/hello-gpt-4o/
- A link to GPT-4o: https://www.youtube.com/watch?v=dBrdd7xg-dg
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