A weekly collection of articles, research, and emerging perspectives on artificial intelligence and education, curated from our Dean’s reading. The digest highlights ideas and developments that invite reflection on how AI is reshaping teaching, learning, and higher education.
This week’s theme is what is it for? Becca Rothfeld finds that question on the lips of nearly every AI critic she meets, from a mother fighting screens in schools to a UChicago professor defending the seminar. A long Zhihu answer turns it into a practical one: which layer of thinking can a student hand over, and which must stay? Brandeis answers it for the liberal arts with a second transcript. Two mathematicians, Wei Zhewei in Beijing and Christian Szegedy in the AI industry, ask what a mathematician is for once machines prove theorems. And an Anthropic engineering lead offers a tutorial on asking AI for the goal beyond the task.
Have you come across an article, book, podcast, research paper, or other resource that has changed the way you think about AI and education?
Share it with us. Your recommendation may be featured in a future edition of the AI in Education Reading Digest.