Automated Social Science: Language Models as Scientist and Subjects
We present an approach for automatically generating and testing, in silico social scientific hypotheses. This automation is made possible by recent advances in large language models (LLM), but the key feature of the approach is the use of structural causal models. Structural causal models provide a...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/157089 |