Responsible data stewardship is an important feature of the digital decarbonisation movement for reducing the impact of data on the environment. The workshop demonstrated how successful implementations of data stewardship through the deployment of the open Digital Decarb Toolkit can greatly benefit not only climate projects, but all projects that rely on data-driven insights.
Another central feature of the digital decarbonisation movement, and Tom and Ian’s involvement as experts of the OECD’s ONE.AI Network, is how organisations can utilise AI whilst ensuring a minimal environmental footprint.
By following these three steps, organisations can reduce the environmental impact of AI systems:
- Use sustainable data for AI algorithms: ensuring ethical data sourcing and respecting privacy rights and environmental considerations.
- Embrace responsible data management: minimising unnecessary data storage and reducing the environmental impact of AI.
- Assess the need for cutting-edge AI analytics: determining the level of AI required is an opportunity for reducing the carbon footprint of AI.
For more information on the value and importance of responsible data stewardship and digital decarbonisation see: 'Why we need to be responsible about data and the environment'.