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Do we want less automation? · Study

WorkDo we want less automation?

Ajay K. Agrawal2023

Work2023

Do we want less automation?

Ajay K. Agrawal · Joshua S. Gans · Avi Goldfarb B

91 citations·0/0 files stored·Science

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Ethics and Social Impacts of AI Labor market dynamics and wage inequality Income, Poverty, and Inequality

Abstract

AI may provide a path to decrease inequality.

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References

2018The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment 2008Trends in U.S. Wage Inequality: Revising the Revisionists 2014Skills, education, and the rise of earnings inequality among the “other 99 percent”2017What can machine learning do? Workforce implications 2021Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses 2018The Economics of Artificial Intelligence 2018Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform 2022The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence

Cited by

2025Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality 2024News bylines and perceived AI authorship: Effects on source and message credibility 2025Employee Digital Transformation Experience Towards Automation Versus Augmentation: Implications for Job Attitudes

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Details

Year2023

Typeeditorial

Published2023-07-13

VenueScience

ISSN-L0036-8075

Languageen

Citations91

Files0 public / 0

ShelfEthics and Social Impacts of AI

Identifiers

doi10.1126/science.adh9429

openalex_workW4384155299

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