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. Latest news Creative AI workshops inspire new projects Most AI struggles to read clocks and calendarsImage tool to help AI scour wildlife shotsFirst GAIL Fellows appointed Generative Creative Visions Final Showcase The final showcase of the Generative Creative Visions project presents the outcomes of a multidisciplinary workshop held in February 2025. Large Language Models and data science workshop A workshop to evaluate and discuss the performance and limitations of OpenAI's Advanced Data Analytics tool in data science tasks, using the Code Interpreter assistant to conduct repetitive experiments inspired by Monte Carlo methods. 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. 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. 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. 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. This article was published on 2024-10-10