AI's carbon footprint - how to harness AI responsibly

AI development and deployment significantly contribute to carbon emissions due to the energy-intensive nature of training and running AI models, particularly large language models. This includes the energy consumption of data centres and the embodied carbon in hardware. While AI can be used to address climate change, its own carbon footprint is a growing concern. Responsible usage of AI and ethical working practices are essential to reduce the carbon footprint of everyday AI usage within the public sector. Find out what working practices you should expect from your AI suppliers, what questions you should be asking during procurement and what your internal teams should be aware of when creating your AI solutions. Responsible usage and best working practices will significantly reduce the carbon footprint, we will share this best practice, and discuss several proactive measures that when taken, evidence an ethical approach to AI and its environmental impact. If you select suppliers and products carefully, you can harness the power of AI without increasing the carbon impact