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Critical Perspectives Webinar Series: Towards a Practitioner-Led AIED Evaluations Capacity: Lessons Learned from Developing L2-Bench at Oxford University Press

James Edgell is a Lead Data Scientist at Oxford University Press. He is responsible for the design and build of machine learning systems that serve learners and teachers of English Language, and is leading research into AI benchmarking methodologies that evaluate AI's effectiveness in language education. James studied Physics at the University of Warwick and postgraduate Geophysics at the University of Leeds. He began his data science career building ML systems for personalisation at the UK's largest hotel chain, before leading analytics teams in North America's airlines industry, building expertise in Natural Language Processing. James then joined OUP to improve learning outcomes, prioritising quality and safety in the development of trustworthy AI.


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July 14

Critical Perspectives Webinar Series Social: Media Restriction - Should AI be Next?

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September 16

Critical Perspectives Webinar Series: Holly Bear