The Generative AI Laboratory (GAIL) at the University of Edinburgh is a centre for excellence dedicated to researching all aspects of generative artificial intelligence (AI) in society. Uniting the diverse research expertise across the University with generative AI at its core, GAIL taps into a thriving AI landscape with recognised strengths in natural language processing, machine learning, and data-driven innovation.

This interdisciplinary initiative focuses on advancing generative AI techniques in the key areas of future health and care, climate and sustainability, and economic growth, and is committed to innovating in generative AI through partnerships with global stakeholders, driving new collaborations and dynamic projects across government, industry, and the public sector.

A promotional image for the upcoming GAIL Seminar Series featuring a photo of Mathias Galle and the tile of the seminar: The industrialisation of Large Language

The next GAIL Seminar will be delivered by Matthias Gallé from Cohere where he will explore how industrialization is reshaping the landscape of AI research and development.

A collage that merges circuit board patterns with textile motifs in a grid-like background of alternating black, grey, and white. Two hand-drawn arms are on each side of the image, positioned as if gently pulling on thin, white strings that cross the image diagonally.

Join us for Generative Creative Visions Workshops, a multidisciplinary initiative exploring the intersections of Generative AI and creativity.

Several small cartoon representations of people are linked by brown handdrawn lines representing a network.

Generative AI has made remarkable progress in recent years, prompting widespread discussion and application across various domains.

A female school teacher in a computer lab speaking to three teenage girls sitting in front of a laptop.

Advances in generative AI are transforming educational practices, presenting opportunities for innovative teaching and learning approaches to AI literacy among children.

Alexa Steinbrück / Better Images of AI / Explainable AI / CC-BY 4.0

The GAIL leadership team is made up of three co-directors who bring a broad area of expertise and insight from across the University.