Five takeaways from the MIT report on AI in higher ed

"This report is a call to action."

That's a rather dramatic opening line for a report prepared for university administrators. But I think it's a fair one.

In January, university leadership at the Massachusetts Institute of Technology (MIT), a leading US technical university, assembled a committee of students, faculty and staff from across the institute to get a handle on AI. The committee was tasked with assessing AI use at MIT, identifying "innovations in teaching and student assessment," and coming up with an institute-wide AI policy. Months later, the MIT Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training has no AI policy — there can be no one-size-fits-all policy, they say. Instead, they have something more like a manifesto on the purpose of the university in the AI age.

I have the feeling the MIT report on AI will end up being an important document for understanding how universities ultimately rise to the challenges of the AI age — or don't. (Conflict of interest declaration: I'm an MIT alumna). It's a tight, well-written text and very much worth a read. But if you're short on time, I've pulled out five takeaways:

AI is a big deal; universities need to respond fast and accept that they're going to make mistakes

Generative AI technologies were widely adopted a little less than four years ago, when OpenAI released ChatGPT in 2022. In that short time, the technology has become a pervasive element of life and society at every scale from the family WhatsApp chat to the global economy. In the report's words: "AI is progressing across almost every domain and on a timescale too compressed for society to properly observe and analyze its impacts and then gradually adapt."