Green AI is Necessary for The Green Transition
Relatively new methods and algorithms for machine learning, embedded in artificial intelligence (AI) systems, contribute to the green transition in society. At the same time, AI creates challenges, including high energy consumption, the need for water to cool an increasing number of larger data centers, and the extraction of minerals from vulnerable natural areas. Further digitalisation of society, which to a large extent revolves around the development and use of AI systems, must be made greener.
dScience Centre leader, Morten D?hlen, will argue that green AI is necessary for the green transition at the opening of the conference “The Future of Energy is green and digital” January 9, 2025. dScience is co-organising the conference.
By
Morten D?hlen
Published Dec. 10, 2024
- Last modified Dec. 10, 2024
AI provides opportunities for the future, but at what cost?
When used correctly, AI offers significant benefits. The AI machinery that generates language, images, and much more is impressive and increasingly useful in daily life. AI solves medical puzzles that heal more and more people. AI contributes to more efficient production and distribution of renewable energy, more effective use of material resources, and much more. I am personally involved in a project where AI is used to enhance learning processes among underprivileged children that have fallen behind normal progression in school. This project aims to help these young people, potentially at risk of social exclusion, to find new oppo