In this edition’s Against the Grain, I muse on the place of generative AI and large language models in the future of publishing. I begin by asking as a publisher, “what do my readers value in the content we deliver?” Can AI generate this value as well or better than human authors? If so, there is likely no place for our publishing house in the future. But if there is a unique value from human authors that our readers demand, then I must look at how AI can improve what we do. Everything else is handwringing, navel gazing, or, worse, trying to predict the future (which we all are terrible at).

Click to read the complete article: Learning Belongs in the Library — ChatGPT in Teaching, Learning, and Scholarly Communication: Celebrating the Uniquely Human