Writings and records are how we understand long-gone civilizations without being able to interact with ancient peoples. A recent opinion paper suggested we could feed chatbots writings from the past to simulate ancient participants for social psychology studies. Similar survey experiments with modern participant data closely matched the outcomes of the real people they were based on. We speak with the opinion paper’s co-author Michael Varnum, an associate professor at Arizona State University, about what the limits of this spooky proposal are and what the ghosts of cultures past could teach us today.
Recommended reading:
“Large Language Models Based on Historical Text Could Offer Informative Tools for Behavioral Science,” by Michael E. W. Varnum et al., in Proceedings of the National Academy of Sciences USA, Vol. 121, No. 42, Article No. e2407639121; October 9, 2024
https://www.pnas.org/doi/10.1073/pnas.2407639121
Inside the AI Competition That Decoded an Ancient Herculaneum Scroll
https://www.scientificamerican.com/article/inside-the-ai-competition-that-decoded-an-ancient-scroll-and-changed/
E-mail us at sciencequickly@sciam.com if you have any questions, comments or ideas for stories we should cover!
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Science Quickly is produced by Rachel Feltman, Fonda Mwangi, Kelso Harper, Madison Goldberg and Jeff DelViscio. This episode was hosted by Rachel Feltman. Our show is edited by Jeff DelViscio with fact-checking by Shayna Posses and Aaron Shattuck.
The theme music was composed by Dominic Smith.
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信息
- 节目
- 频率半周一更
- 发布时间2024年11月22日 UTC 11:00
- 长度12 分钟
- 分级儿童适宜