aceCan Generative AI improve social science?
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…
Generative AI has potential to improve core social science methods including surveys, online experiments, content analysis, and agent-based modeling of human behavior.
Bias in training data and other issues including ethics, replication, environmental impact, and proliferation of low-quality research can negatively impact social science research using generative AI.
Author acknowledges limitations including bias from training data, ethics, replication, environmental impact, and proliferation of low-quality research that could undermine benefits.
Evidence
- Peer-reviewedProceedings of the National Academy of Sciences2024-05-09
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Truvace Impact Record TRV-2026-0426, v1: “Can Generative AI improve social science?.” Truvace, 2026-07-20. /record/TRV-2026-0426 (accessed at citation time). sha256 b689f234541c9097…
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