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Defining and classifying AI in the workplace

Author

Listed:
  • Marguerita Lane
  • Morgan Williams

Abstract

This document serves both as a conceptual and practical guide for defining and classifying AI, in order to help stakeholders analyse and understand its impact on the workplace. It first discusses how AI can be defined and provides a selection of AI use cases to help stakeholders identify AI and distinguish it from other advanced technologies. The document then provides a framework for classifying AI according to its impact on the workplace, consisting of a set of questions intended to help stakeholders evaluate any AI application from a workplace perspective (either a priori or ex post) and to promote informed discussion so that AI is implemented in a way that empowers and complements workers and improves job quality, and that no one is left behind.

Suggested Citation

  • Marguerita Lane & Morgan Williams, 2023. "Defining and classifying AI in the workplace," OECD Social, Employment and Migration Working Papers 290, OECD Publishing.
    • Handle: RePEc:oec:elsaab:290-en
    DOI: 10.1787/59e89d7f-en
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    Cited by:

    1. Julia Bock-Schappelwein & Andrea Egger, 2023. "Arbeitsmarkt 2030. Rückschlüsse für Österreich," WIFO Studies, WIFO, number 71172, April.

    More about this item

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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