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

Recently viewed

Publications

  1. Is the market classification of risk always efficient?
  2. Third International Mathematics and Science Study and Trends in Mathematics and Science Studies (TIMSS)
  3. Development and characterisation of a new interface for coupling capillary LC with collision-cell ICPMS and its application for phosphorylation profiling of tryptic protein digests
  4. The significance of tree-tree interactions for forest ecosystem functioning
  5. Excellence in Teaching and Learning
  6. Is Calluna vulgaris a suitable bio-monitor of management-mediated nutrient pools in heathland ecosystems?
  7. Transformation products in the water cycle and the unsolved problem of their proactive assessment
  8. Knowledge Generation and Sustainable Development
  9. Bright Spots for Local WFD Implementation Through Collaboration with Nature Conservation Authorities?
  10. Assessing Exposure of Pesticides to Bees
  11. Web-Based Stress Management Program for University Students in Indonesia
  12. Multitrophic diversity in a biodiverse forest is highly nonlinear across spatial scales
  13. Effect of salinity-changing rates on filtration activity of mussels from two sites within the Baltic Mytilus hybrid zone
  14. Reprocessing from the inside
  15. ‘The Useful, the Bad and the Ugly’.
  16. Othering Space
  17. Science-Related Outcomes
  18. Skills and knowledge management in higher education
  19. Single-Word Recognition Need Not Depend on Single-Word Features
  20. Data quality assessment framework for critical raw materials. The case of cobalt
  21. Non-target Analysis and Chemometric Evaluation of a Passive Sampler Monitoring of Small Streams
  22. Feedback
  23. “Smart is not smart enough!” Anticipating critical raw material use in smart city concepts
  24. Customer Orientation of Service Employees—Toward a Conceptual Framework of a Key Relationship Marketing Construct
  25. Article 1 Scope
  26. Assessing impact of varied social and ecological conditions on inherent vulnerability of Himalayan agriculture communities