Why This Harvard Professor Embraces AI in the Classroom

As AI steps into almost every corner of our lives, a professor at Harvard is ensuring it finds a place in his classroom too. Back in November, when ChatGPT launched, the writing quality of many students suddenly spiked. Some appeared to have swapped their B+ essays for a literary flair worthy of a Penguin contract. Yet, their distinct voices faded into a homogeneous AI blend.

AI as a Learning Tool, Not a Crutch

While some educators shy away from AI, fearing it might erode originality, this professor is taking a different approach. He argues that dismissing AI in education is akin to neglecting a teacher's duty. Generation Z is entering a workforce fundamentally altered by technology. To ignore the tools that are reshaping work processes would be a disservice to them.

Why pretend these tools don’t exist? Instead, teach students to wield them effectively. The choice is simple: equip them to thrive in this evolving landscape or leave them to flounder.

Assignments: A Modern Approach

In this Harvard classroom, students are encouraged to incorporate AI into every assignment. But the guidance is clear. Use AI to complement, not replace, their own thinking. The focus is on growth, fostering a mindset that values learning over mere output.

Students here aren’t just passive recipients. They can tap into AI's strengths for deep research and idea synthesis. But there's a line. forming their own arguments, AI takes a backseat. The professor insists on raw, unfiltered student thought first. Only then does AI step back in as an editor, not as the thinker.

The Boundaries of AI in Education

In this classroom, AI is a tool, not a crutch. It can't, and shouldn’t, do the thinking for students. In a world obsessed with perfection, there's a temptation to lean too heavily on AI. The challenge is resisting that urge.

Reflecting on the transformation since December 2022, the lesson is evident. The most successful students aren’t those who avoid AI entirely. They're the ones who judiciously decide when to stop using it. The earnings call told a different story.

Ultimately, this approach isn't just preparing students for exams. It's preparing them for a world where AI is omnipresent. So, should more educators follow suit?