Rebound Effects in Methods of Artificial Intelligence
Research output: Contributions to collected editions/works › Chapter
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Advances and New Trends in Environmental Informatics: A Bogeyman or Saviour for the UN Sustainability Goals?. ed. / Volker Wohlgemuth; Stefan Naumann; Grit Behrens; Hans-Knud Arndt. Cham: Springer Schweiz, 2021. p. 73-85.
Research output: Contributions to collected editions/works › Chapter
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TY - CHAP
T1 - Rebound Effects in Methods of Artificial Intelligence
AU - Willenbacher, Martina
AU - Hornauer, Torsten
AU - Wohlgemuth, Volker
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Sustainability sciences, Communication
KW - Artificial intelligence
KW - Rebound-effect
KW - Resource and energy efficiency
U2 - 10.1007/978-3-030-88063-7_5
DO - 10.1007/978-3-030-88063-7_5
M3 - Chapter
SN - 978-3-030-88062-0
SN - 978-3-030-88065-1
SP - 73
EP - 85
BT - Advances and New Trends in Environmental Informatics
A2 - Wohlgemuth, Volker
A2 - Naumann, Stefan
A2 - Behrens, Grit
A2 - Arndt, Hans-Knud
PB - Springer Schweiz
CY - Cham
ER -