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 Most AI struggles to read clocks and calendarsImage tool to help AI scour wildlife shotsFirst GAIL Fellows appointedGAIL Fellows and seed funding open for applications GAIL Seminar Series: Bridging code and design with AI The next GAIL Seminar will be delivered by Lydia Chilton from Columbia University where she will discuss how Generative AI is helping to reshape the design lifecycle in programming. 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
