# AI for social science and social science of AI: A Survey

**Authors:** Ruoxi Xu, Yingfei Sun, Mengjie Ren, Shiguang Guo, Ruotong Pan, Hongyu Lin, Le Sun, Xianpei Han  
**arXiv:** [2401.11839](https://arxiv.org/abs/2401.11839)  
**Date:** 2024-01-22  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2401.11839v1/

## Key points

- Authors: Ruoxi Xu, Yingfei Sun, Mengjie Ren, Shiguang Guo, Ruotong Pan, Hongyu Lin, Le Sun, Xianpei Han
- Paper title: "AI for social science and social science of AI: A Survey"
- Main directions at the intersection of AI and social science:
- Using AI for social science purposes
- Studying AI itself within a social context
- Emphasis on recent advancements in large language models (LLMs)
- Cohesive framework provided to understand distinctions and connections between the two main directions
- Summary of state-of-the-art experiment simulation platforms for further research
- Significance of combining AI with social science expected to grow stronger as technology advances
- Valuable resource for scholars interested in the evolving relationship between AI and social sciences

## Summary

In their paper titled "AI for social science and social science of AI: A Survey," authors Ruoxi Xu, Yingfei Sun, Mengjie Ren, Shiguang Guo, Ruotong Pan, Hongyu Lin, Le Sun, and Xianpei Han delve into the intersection of artificial intelligence (AI) and social science. The survey systematically categorizes previous explorations at this intersection into two main directions. By conducting a thorough review of existing literature and emphasizing the impact of recent advancements in large language models (LLMs), the authors introduce a fresh perspective on how AI and social science can be intertwined. They provide a cohesive framework that helps researchers understand both the distinctions and connections between using AI for social science purposes versus studying AI itself within a social context. Additionally, they summarize state-of-the-art experiment simulation platforms that can facilitate further research in these two directions. The authors believe that as AI technology continues to advance and intelligent agents find more applications in daily life, the significance of combining AI with social science will only grow stronger. This comprehensive survey serves as a valuable resource for scholars interested in exploring the evolving relationship between AI and social sciences.