A recent article in The Washington Post highlighted the challenges of AI-created recipes and turned to TPL faculty associate Emily Bender for insight.

Recipes created by artificial intelligence are pulling from many sources, which can lead to unexpected results.

“When the language model is accessing the parts of its training data that has to do with recipes, it doesn’t have a good way of differentiating between things,” Bender said. “You talk about beef being rare or well done, but not chicken — but that could come out.”