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.

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A picture of the aftermath of a torndado, in the background there is a building on the left side that has been ripped in half. In the middle of the background is a tree that has been damaged. The middle ground has flooding. The foreground has a car that has been turned upside down.

Generative AI Modelling for Extreme Events

This workshop aims to stimulate discussion on generative AI models for extreme events and to promote the exploration of novel directions in this emerging area.

Inside the frame of a mobile phone screen, a woman is depicted walking and looking over her shoulder. Behind her, there is an outdoor scene with the sky, tree, fences, and pavement. A hand is shown grabbing the phone and tapping the record button. On the right side of the phone, three figures of the same woman are shown against a plain blue background, progressively transforming from minimally glitched to heavily glitched.

Workshop in advancing watermarking in Generative AI

Explore the future of digital authenticity at our workshop on watermarking in generative AI, where experts from various fields discuss the challenges and advancements in detecting and distinguishing synthetic content.

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

Case study: Ethical and effective use of large language models

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.

Case study: Generative AI in schools

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

Meet the GAIL leadership team

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

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Introducing the GAIL Fellows

GAIL Fellows are researchers and academics from across the University of Edinburgh with a broad range of expertise in the area of Generative AI.

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