{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fgrammar-girl.simplecast.com%2Fepisodes%2Fabigail-eisenstadt-hGUBNs0d","width":444,"version":"1.0","type":"rich","title":"What a ‘Science' magazine experiment says about the future of AI in journalism, with Abigail Eisenstadt","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/6e27cc4d-f23d-4983-b80a-3f34562d91a7/0e14ed0d-f22e-4c60-b69b-e1939b704339/gg-20interview-20show-20mock-20up-20art-20-40.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/bcdbf5c4-f2ab-4000-8231-ce3c2354b88a\" height=\"200\" width=\"100%\" title=\"What a ‘Science&apos; magazine experiment says about the future of AI in journalism, with Abigail Eisenstadt\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"1131. This week, we talk with ‘Science' magazine senior writer Abigail Eisenstadt about her team's year-long experiment testing ChatGPT's ability to summarize research papers. We look at their methodology, the limitations they realized, and their main finding: that AI could “transcribe” scientific studies but failed to “translate” them with context. "}