AI and Environment
Lund University
Lund
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: TFRE90
<p>Artificial intelligence is often highlighted as a solution to climate and environmental challenges, but it also requires much energy and resources. In this course, you will gain tools to analyse AI's environmental impact and discuss how the technology can be governed for sustainable development.</p><p>You will learn about important concepts such as datafication, externalisation and rebound effects. Using concrete examples, you will gain tools to compare how different AI solutions affect energy and resource use, as well as how they can contribute to or complicate efforts to achieve climate and environmental goals. </p><p>The course is suitable for those who want to discuss AI and the environment in an informed way, based on technical, societal and environmental perspectives. </p><p> </p>
General requirements
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Lund University
Lund
Start date:
End date:
Pace of study: 50 %
Retrieved: .
Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-06-30T22:30:12