The Emergence of Social Science of Large Language Models
A systematic review of 270 studies on the social science of large language models, published on October 27, 2025.
Why it matters
This comprehensive review provides valuable insights into the far-reaching social implications of large language models, informing ongoing discussions around the ethical and responsible deployment of these AI systems.
Key Points
- 1Comprehensive review of 270 studies on the social impact of large language models
- 2Examines how LLMs are transforming various domains, including education, healthcare, and the workforce
- 3Identifies key ethical and regulatory considerations around the deployment of LLMs
- 4Highlights the need for interdisciplinary collaboration to address the societal implications of LLMs
Details
This article presents a systematic review of 270 studies on the emerging field of the social science of large language models (LLMs). The review, published on October 27, 2025, examines how the rapid development and deployment of LLMs, such as GPT, Claude, and Gemini, are transforming various domains, including education, healthcare, the workforce, and beyond. The researchers identify key ethical and regulatory considerations that must be addressed as LLMs become more prevalent, such as issues of bias, privacy, and transparency. The review emphasizes the need for interdisciplinary collaboration between computer scientists, social scientists, policymakers, and other stakeholders to ensure the responsible and equitable development of these transformative technologies.
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