Rebound Effects in Methods of Artificial Intelligence

Research output: Contributions to collected editions/worksChapter

Authors

  • Martina Willenbacher
  • Torsten Hornauer
  • Volker Wohlgemuth
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 languageEnglish
Title of host publicationAdvances and New Trends in Environmental Informatics : A Bogeyman or Saviour for the UN Sustainability Goals?
EditorsVolker Wohlgemuth, Stefan Naumann, Grit Behrens, Hans-Knud Arndt
Number of pages13
Place of PublicationCham
PublisherSpringer Schweiz
Publication date2021
Pages73-85
ISBN (print)978-3-030-88062-0, 978-3-030-88065-1
ISBN (electronic)978-3-030-88063-7
DOIs
Publication statusPublished - 2021