On March 14, Shah and his University of Washington colleague Emily M. Bender, who studies computational linguistics and ethical issues in natural-language processing, published a paper that criticizes what they see as a rush to embrace language models for tasks they are not designed to address. In particular, they fear that using language models for search could lead to more misinformation and more polarized debate.
“The Star Trek fantasy—where you have this all-knowing computer that you can ask questions and it just gives you the answer—is not what we can provide and not what we need,” says Bender, a coauthor on the paper that led Timnit Gebru to be forced out of Google, which had highlighted the dangers of large language models.
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