Making Sense of AI: Literacy & Learning for the Next Generation
Overview
Making Sense of AI: Literacy & Learning for the Next Generation
Artificial Intelligence is reshaping education, creativity and the workplace - but what does this mean for the next generation of learners? Join us for an engaging evening of insight and discussion exploring how AI literacy can empower students, teachers and our wider community.
This event brings together local experts from universities, schools and the tech community to demystify AI, share practical perspectives and spark conversation around the role of AI in learning and daily life.
Programme
- 6:00–6:30pm – Arrival and refreshments
- 6:30–7:30pm – Short talks and panel discussion
5-Minute Talks:
- How do LLMs work? - Prof. Dan Franks, Data Science Professor, University of York and Founder of Causa
- What is AI Literacy? - Dr Beth Lane, AI Founder, Researcher and Educator
- AI Literacy and the Primary Curriculum - Narinder Gill, AI Founder, Educator and DfE RISE Advisor
- AI and Plagiarism - Suneet Misra, Software Engineer, Founder and Educator
- Where does your data go? AI & Data Sovereignty - Sean Connell, AI Founder, Creative and Investor
Panel Discussion & Audience Q&A (35 mins total)
Chaired by Dr Keither Parker, Head of Initial Teacher Training, York St John University
Come along to learn more about York’s growing AI movement, explore what “AI literacy” really means and discover how we can all make sense of AI.
Lineup
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Highlights
- 1 hour 30 minutes
- all ages
- In person
- Free parking
- Doors at 18:00
Location
The Mount School York
Dalton Terrace
York YO24 4DD United Kingdom
How do you want to get there?
5-minute Talks
How do LLMs Work? (Professor Dan Franks) What is AI Literacy? (Dr Beth Lane) AI Literacy & the Primary Curriculum (Narinder Gill) AI & Plagiarism (Suneet Misra) Where Does your Data Go? AI & Data Sovereignty (Sean Connell)
Panel
Chaired by Dr Keither Parker, Head of Initial Teacher Training at York St John University (YSJ)
Audience Q&A
Frequently asked questions
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