Rebound Effects in Methods of Artificial Intelligence
Research output: Contributions to collected editions/works › Chapter
Authors
Artificial intelligence (AI) is one of the pioneering driving forces of the digital revolution in terms of the areas of application that already exist and those that are emerging as potential. On the technical side, this paper deals with the energy requirements of artificial intelligence processes. It also identifies efficiency approaches in this sector. Increases in productivity often lead to an increased demand for energy, which is contrary to sustainability in terms of reducing CO2 emissions. Therefore, it will be examined to what extent rebound effects can reduce the savings potential for energy in relation to methods of artificial intelligence and what the main factors of CO2 emissions are.
Original language | English |
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Title of host publication | Advances and New Trends in Environmental Informatics : A Bogeyman or Saviour for the UN Sustainability Goals? |
Editors | Volker Wohlgemuth, Stefan Naumann, Grit Behrens, Hans-Knud Arndt |
Number of pages | 13 |
Place of Publication | Cham |
Publisher | Springer Schweiz |
Publication date | 2021 |
Pages | 73-85 |
ISBN (print) | 978-3-030-88062-0, 978-3-030-88065-1 |
ISBN (electronic) | 978-3-030-88063-7 |
DOIs | |
Publication status | Published - 2021 |
- Sustainability sciences, Communication - Artificial intelligence, Rebound-effect, Resource and energy efficiency