While traditional methods have provided valuable insights, the complexity of environmental systems demands more advanced tools. AI has already been applied in specific areas such as weather prediction, natural hazard monitoring, and water usage optimisation. However, these applications tend to be narrow in focus, limiting their broader impact on sustainability.
The emergence of Foundation AI presents a game-changing opportunity for environmental science. These large-scale, pre-trained AI models can analyse vast datasets and adapt to a wide range of tasks, offering the potential to uncover patterns across environmental systems, improve predictions, and support evidence-based decision-making.
Our research brings together experts from various disciplines to explore the opportunities and challenges of using AI for sustainability. By collaborating with stakeholders across sectors, we aim to develop the next generation of AI systems that can address environmental challenges, while ensuring that ethical and safety considerations are met.