Generative AI Network

Generative AI Network (GAIN)

The Generative AI Network (GAIN) is an inter-institutional community of practice and network that shares policy, practice and developments in the use of Generative AI in pedagogic contexts.

The Generative AI Network (GAIN) was started by CIE in the summer of 2023, with an aim to bring together those working in education with an interest in exploring Generative AI for education and pedagogy. Members are from universities and other educational institutions across the UK, and are a mixture of lecturers, educational/academic developers, learning technologists and other interested stakeholders. The group aims to share policy and good practice between institutions across the UK, and to develop new approaches to integrating the technology into teaching, learning and assessment.

Organising Committee

Dr Sam Saunders - Educational Developer
Centre for Innovation in Education, University of Liverpool

Ben McGrae - Educational Developer
Centre for Innovation in Education, University of Liverpool

Rebecca Atkinson - Events Co-ordinator
Centre for innovation in Education, University of Liverpool

The group welcomes new members, if you would like to join please email and we will add you to the mailing list.

Sessions are hosted and led by different institutions across the year, and the current year’s schedule for GAIN sessions is outlined below:


September 2023

University of Chester

Privacy/Ethics/Accessibility/Inclusion (Hybrid)

November 2023

Edge Hill University

Training/Developments Overview (Hybrid)

January 2024

BPP University

Policy Development Overview (Hybrid)

March 2024

Manchester Metropolitan University

Policy Development Overview (Online)

May 2024

University of Manchester

Field Reflection Seminar (Hybrid)

July 2024

University of Liverpool

Network 2023-24 Showcase (Hybrid)

Upon joining the network you will be added to a mailing list with the purpose of communicating updates from the Network and information relating to our upcoming events. Your information will be stored in accordance to GDPR, and you can request to leave at any time, in which case we will remove your information from our files.

For more information please contact

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