Table 1 AI key impact areas to accelerate the climate transition
From: Green and intelligent: the role of AI in the climate transition
1. Transforming complex systems | 2. Innovating technology discovery and resource efficiency | 3. Nudging and behavioural change | 4. Modelling climate systems and policy interventions | 5. Managing adaptation and resilience |
|---|---|---|---|---|
• Integrated management of energy systems, multimodal transport, and the urban ecosystem • Simulations of inter-systemic flows and cross-system interaction through AI-powered digital twins • Prediction of investment risks in low-carbon projects | • Acceleration of scientific discovery and incubation of green tech innovation at scale • Generation of sustainable design options • Maximisation of asset use and efficiency over lifetime | • Modelling of social behaviour, pattern analysis, and prediction • Facilitation of pro-environmental behaviour through advanced data analytics and AI-powered assistants | • Forecasting of extreme weather and climate change scenarios • Modelling the effects of climate change and the effectiveness of different policy scenarios | • Forecasting of climate impacts and early warning systems • Management of financial and human climate risk and impact towards more resilient systems • Strategic planning on climate adaptation |
