Can Generative AI improve social science?

Duke University

PubMed
Indexed incrossrefpubmed

Abstract

Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research. I argue Generative AI has the potential to improve survey research, online experiments, automated content analyses, agent-based models, and other techniques commonly used to study human behavior. In the second section of this article, I discuss the many limitations of Generative. I examine how bias in the data used to train these tools can negatively impact social science research-as well as a range of other challenges related to ethics, replication, environmental impact, and the proliferation of…

Citation impact

224
total citations
FWCI
376.24
Percentile
100%
References
72
Citations per year

Authors

1

Topics & keywords

Keywords
  • Generative grammar
  • Data science
  • Computer science
  • Quality (philosophy)
  • Replication (statistics)
  • Citizen science
  • Open science
  • Generative model
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
No related works found for this paper.