A Short Overview of Rebound Effects in Methods of Artificial Intelligence

Artificial intelligence (AI) is one of the pioneering technologies of the digital revolution in terms of the already existing and potential application areas in companies. On the technical side, this paper deals with the energy requirements for the use of artificial intelligence methods and the identification of efficiency approaches. Productivity increases often lead to increased energy demand, which contradicts sustainability in terms of reducing CO2 emissions. Therefore, it is investigated to what extent rebound effects can reduce the potential for energy savings in relation to artificial intelligence methods and what are the main factors of the resulting CO2 emissions.

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