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Artificial Intelligence in Germany: Employees Often Unaware They Are Working with AI-Based Systems

Author

Listed:
  • Oliver Giering
  • Alexandra Fedorets
  • Jule Adriaans
  • Stefan Kirchner

Abstract

Using a new SOEP-IS data module on digitalization including information on the prevalence of AI use in the workplace, this report shows that the term “artificial intelligence” often remains inscrutable in the day-to-day work of many employees. When asked directly about the use of digital systems with the term “artificial intelligence,” around 20 percent of the working respondents in the sample indicate that they use such systems. When asked indirectly—without using the term AI—almost double the share of respondents indicate that they use at least one of these digital systems on a daily basis. Thus, many employees are already working with AI-based systems without knowing it. This suggests that the current debate about job displacement due to AI (substitution) needs to be expanded to include perspectives on collaboration between humans and machines. As of 2021, many employees still complete certain tasks themselves but also receive assistance from AI-based systems. Training should be offered for the workforce to gain knowledge about AI and strengthen their AI-related skills. With these measures, as many people as possible can shape technological progress in Germany and thus benefit from it.

Suggested Citation

  • Oliver Giering & Alexandra Fedorets & Jule Adriaans & Stefan Kirchner, 2021. "Artificial Intelligence in Germany: Employees Often Unaware They Are Working with AI-Based Systems," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 11(48), pages 369-375.
  • Handle: RePEc:diw:diwdwr:dwr11-48-1
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.831269.de/dwr-21-48-1.pdf
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    Cited by:

    1. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    digitalisation; artificial intelligence; labor market; work;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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