A team of researchers from four Canadian and American universities say artificial intelligence could replace humans when it comes to collecting data for social science research.
"AI models can represent a vast array of human experiences and perspectives, possibly giving them a higher degree of freedom to generate diverse responses than conventional human participant methods, which can help to reduce generalizability concerns in research," Igor Grossmann, professor of psychology at Waterloo and a co-author of the article,Philip Tetlock, a psychology professor at UPenn and article co-author, goes so far as to say that LLMs will "revolutionize human-based...
The authors say the social sciences have traditionally relied on methods such as questionnaires and observational studies. Scientists could use LLMs to test theories in a simulated environment before applying them in the real world, the article says, or gather differing perspectives on a complex policy issue and generate potential solutions.
One issue the authors identified, however, is that LLMs often learn to exclude sociocultural biases, raising the question of whether models are correctly reflecting the populations they study.
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