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1 - Introduction

Published online by Cambridge University Press:  23 May 2024

Wim Naudé ,
Thomas Gries  and
Nicola Dimitri
Wim Naudé
Affiliation:
Rheinisch-Westfälische Technische Hochschule, Aachen, Germany
Thomas Gries
Affiliation:
Universität Paderborn, Germany
Nicola Dimitri
Affiliation:
Università degli Studi, Siena
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Summary

This chapter provides a motivation for this book, outlining the interests of economists in artificial intelligence, describing who this book is aimed at, and laying out the structure of the book.

Keywords

economicsartificial intelligenceinequalityGDP growthproductivityeconometricseconomic policy
Type
Chapter
Information
Artificial Intelligence
Economic Perspectives and Models
 , pp. 1 - 21
Publisher: Cambridge University Press
Print publication year: 2024

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  • Introduction
  • Wim Naudé, Rheinisch-Westfälische Technische Hochschule, Aachen, Germany, Thomas Gries, Universität Paderborn, Germany, Nicola Dimitri, Università degli Studi, Siena
  • Book: Artificial Intelligence
  • Online publication: 23 May 2024
  • Chapter DOI: https://doi.org/10.1017/9781009483094.002
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Save book to Dropbox

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  • Introduction
  • Wim Naudé, Rheinisch-Westfälische Technische Hochschule, Aachen, Germany, Thomas Gries, Universität Paderborn, Germany, Nicola Dimitri, Università degli Studi, Siena
  • Book: Artificial Intelligence
  • Online publication: 23 May 2024
  • Chapter DOI: https://doi.org/10.1017/9781009483094.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Wim Naudé, Rheinisch-Westfälische Technische Hochschule, Aachen, Germany, Thomas Gries, Universität Paderborn, Germany, Nicola Dimitri, Università degli Studi, Siena
  • Book: Artificial Intelligence
  • Online publication: 23 May 2024
  • Chapter DOI: https://doi.org/10.1017/9781009483094.002
Available formats
×