The impact of generative artificial intelligence on socioeconomic inequalities and policy making

Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information domain, generative AI can democratize content creation and access but may dramatically expand the production and proliferation of misinformation. In the workplace, it can boost productivity and create…

• NS
  National Science Foundation
• AP
  Alfred P. Sloan Foundation
• SR
  Smith Richardson Foundation
• SW
  Sid W. Richardson Foundation
• WA
  William and Flora Hewlett Foundation
• G
  Google
• MI
  Massachusetts Institute of Technology
• WC
  Washington Center for Equitable Growth

  Awards: ANR-17-EURE-0010, ANR-19-PI3A-0004
• LT
  Leverhulme Trust

  Award: PLP-2021-095
• AN
  Agence Nationale de la Recherche

  Awards: ANR-17-EURE-0010, 17-EURE-0010, ANR-17-EURE-, 19-PI3A-0004, ANR-19-PI3A-0004, ANR-17, ANR-19
• KN
  Koninklijke Nederlandse Akademie van Wetenschappen
• MD
  Ministerio de Ciencia e Innovación

  Award: PID2021-126892NB-I00
• UD
  Università degli Studi di Torino

  Award: NATS_GFI_22_01_F
• TW
  Templeton World Charity Foundation

  Award: TWCF-2022-30561
• EA
  Economic and Social Research Council

  Awards: PLP-2021-095, ES/V015176/1, ES/V015176/1
• AR
  Australian Research Council

  Award: FL180100094
• HE
  H2020 European Research Council

  Award: 101018262