Can AI help solve the climate crisis? | Sims Witherspoon
Nov 10, 2023
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Sims Witherspoon, Leader at Google DeepMind, discusses how AI can help solve the climate crisis by predicting ecosystems, creating clean energy, and optimizing wind power. The importance of data and partnerships in deploying AI systems is also highlighted.
AI can accurately predict wind availability and optimize the use of wind energy.
Collaboration between researchers, domain experts, and deployment partners is crucial for successful deployment of AI in renewable energy.
Deep dives
Using AI to Predict Renewable Energy Availability
The podcast episode discusses how artificial intelligence (AI) can help predict when and how to harness clean energy, specifically focusing on wind energy. Renewables like wind energy are unpredictable, which poses challenges for electricity systems operators. However, AI systems can ingest vast amounts of historical data and accurately predict future wind availability. By training a neural net on historical weather data and turbine power production information, AI can optimize the use of wind energy and improve supply forecasts. Google DeepMind, in partnership with Google, successfully deployed an AI system that performed 20% better than existing systems, demonstrating the potential role of AI in transitioning to renewable energy.
The Challenges of Deploying AI for Renewable Energy
The podcast episode highlights the challenges in deploying AI systems for renewable energy. One significant challenge is the availability of data, with gaps in climate-critical data across various sectors. The podcast emphasizes the need for data sharing and collaboration between researchers, domain experts, and deployment partners. It also discusses how finding willing partners with domain expertise and the necessary infrastructure is crucial for real-world deployment of AI solutions. The episode cites examples of partnerships with Google and the UK National Grid, where AI systems proved effective in optimizing wind power capacity and demand-side forecasting.
The Importance of Collaboration in AI for Climate Action
The podcast episode underscores the collaborative effort required for effective AI implementation in climate action. It emphasizes the diverse skill sets needed, including scientists, engineers, ethicists, policy experts, communication teams, and more. The episode calls for domain experts to share challenges and data holders to make climate-critical datasets available. It also encourages deployment partners to come forward and highlights the importance of deploying AI safely and responsibly. While AI is not a silver bullet solution and carries its own carbon footprint, the episode emphasizes the transformative potential of AI in the fight against climate change, emphasizing the need to focus on the 'how' of implementing impactful solutions.
“AI can be a transformational tool in our fight against climate change," says Sims Witherspoon, a leader at the AI research lab Google DeepMind. Using wind power as her case study, she explains how powerful neural networks can help us better predict Earth's changing ecosystems and accelerate the breakthrough science needed to create a carbon-free energy supply.