Artificial intelligence offers high potential solutions to the climate crisis, but evidence suggests that AI systems and cloud computing will need to clean up their own energy bills. Roel Dobbe, AI researcher, explains that in the AI field, there is a dominant but false belief that “bigger is better”, and that assumption drives the use of increased computation and bigger data sets in the development of AI models. As AI relies on more computational power, its carbon footprint increases.

People affected by climate change cause an influx in hospital admissions and require medical care. These treatments release more carbon, locking healthcare into a self-destructive cycle whereby medical care causes medical needs, says Cristina Richie in her column.

Wat vinden inwoners van Súdwest-Fryslân belangrijk bij het vormen van toekomstig energiebeleid? De gemeente onderzocht het met behulp van de Participatieve Waarden Evaluatie. Onderzoeker Shannon Spruit van de TU Delft vertelt over de voordelen van deze online participatiemethode. 'Door in de huid te kruipen van een bestuurder, ontdekken inwoners hoe complex het is om keuzes te maken.'