Evidence map›Paper›PMID 38864006›Full record

ReviewPNAS nexus2024

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

Valerio Capraro, Austin Lentsch, Daron Acemoglu, Selin Akgun, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, Pablo Brañas-Garza, Luigi Butera, Karen M Douglas and 23 more

Abstract readReview
In one paragraph

Review in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Moral stereotyping in large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. International medical education (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Valerio CapraroDepartment of Psychology, University of Milan-Bicocca, Milan 20126, Italy.ORCID https://orcid.org/0000-0002-0579-0166
Austin LentschDepartment of Economics, MIT, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0002-6558-9106
Daron AcemogluInstitute Professor and Department of Economics, MIT, Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0003-0908-7491
Selin AkgunCollege of Education, Michigan State University, East Lansing, MI 48824, USA.
Aisel AkhmedovaCollege of Education, Michigan State University, East Lansing, MI 48824, USA.
Ennio BilanciniIMT School for Advanced Studies Lucca, Lucca 55100, Italy.ORCID https://orcid.org/0000-0002-2027-3992
Jean-François BonnefonToulouse School of Economics, Toulouse 31000, France.ORCID https://orcid.org/0000-0002-4959-188X
Pablo Brañas-GarzaLoyola Behavioral Lab, Loyola Andalucia University, Córdoba 41740, Spain.ORCID https://orcid.org/0000-0001-8456-6009
Luigi ButeraDepartment of Economics, Copenhagen Business School, Frederiksberg 2000, Denmark.ORCID https://orcid.org/0000-0002-7501-3848
Karen M DouglasSchool of Psychology, University of Kent, Canterbury CT27NP, UK.ORCID https://orcid.org/0000-0002-0381-6924
Jim A C EverettSchool of Psychology, University of Kent, Canterbury CT27NP, UK.ORCID https://orcid.org/0000-0003-2801-5426
Gerd GigerenzerMax Planck Institute for Human Development, Berlin 14195, Germany.ORCID https://orcid.org/0000-0002-6163-5419
Christine GreenhowCollege of Education, Michigan State University, East Lansing, MI 48824, USA.
Daniel A HashimotoDepartment of Psychology, University of Milan-Bicocca, Milan 20126, Italy.
Julianne Holt-LunstadDepartment of Psychology and Neuroscience, Brigham Young University, Provo, UT 84602, USA.ORCID https://orcid.org/0000-0003-0043-0791
Jolanda JettenSchool of Psychology, University of Queensland, St Lucia, QLD 4067, Australia.ORCID https://orcid.org/0000-0002-7588-5355
Simon JohnsonSchool of Management, MIT Sloan School of Management, Cambridge, MA 02142, USA.
Werner H KunzDepartment of Marketing, University of Massachusetts Boston, Boston, MA 02125, USA.ORCID https://orcid.org/0000-0001-6264-183X
Chiara LongoniDepartment of Marketing, Bocconi University, Milan 20136, Italy.ORCID https://orcid.org/0000-0002-4945-4957
Pete LunnBehavioural Research Unit, Economic & Social Research Institute, Dublin D02 K138, Ireland.
Simone NataleDepartment of Humanities, University of Turin, Turin 10125, Italy.ORCID https://orcid.org/0000-0003-1962-2398
Stefanie PaluchDepartment of Service and Technology Marketing, Aarhus University, Aarhus 8000, Denmark.ORCID https://orcid.org/0000-0002-7478-4149
Iyad RahwanCenter for Humans and Machines, Max Planck Institute for Human Development, Berlin 14195, Germany.ORCID https://orcid.org/0000-0002-1796-4303
Neil SelwynFaculty of Education, Monash University, Clayton VIC 3168, Australia.ORCID https://orcid.org/0000-0001-9489-2692
Vivek SinghPenn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0002-4196-4530
Siddharth SuriMicrosoft Research, Redmond, WA 98502, USA.ORCID https://orcid.org/0000-0002-1318-8140
Jennifer SutcliffeCollege of Education, Michigan State University, East Lansing, MI 48824, USA.
Joe TomlinsonYork Law School, University of York, York YO105DD, UK.ORCID https://orcid.org/0000-0001-9433-1123
Sander van der LindenDepartment of Psychology, University of Cambridge, Cambridge CB 21TN, UK.ORCID https://orcid.org/0000-0002-0269-1744
Paul A M Van LangeDepartment of Experimental and Applied Psychology, Vrije Universiteit, Amsterdam 1081HV, The Netherlands.ORCID https://orcid.org/0000-0001-7774-6984
Friederike WallDepartment of Management Control and Strategic Management, University of Klagenfurt, Klagenfurt am Wörthersee 9020, Austria.ORCID https://orcid.org/0000-0001-8001-8558
Jay J Van BavelDepartment of Psychology & Center for Neural Science, New York University, New York, NY 10012, USA.ORCID https://orcid.org/0000-0002-2520-0442
Riccardo VialeCISEPS, University of Milan-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID https://orcid.org/0000-0001-6546-6221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Identifiers

PMID38864006
PMCPMC11165650

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.