Alexander Reese

Using AI as a Substitute vs. an Elevator for Learning

The smarter and more personalized AI becomes, the more important is the question: "are you using AI as a substitute for your own learning, or as a tool to elevate it?"

I don't think there should be a one-size-fits-all answer. I used to remember my school friends' phone numbers because I had to dial them; now I don't put any effort into memorizing any new ones and just "ask" my phone. For planning a scenic road trip, I tend to spend quite a bit of time reading blog posts (I know people who spend much more or less time on this); here I really appreciate AI suggesting me itineraries based on my preferences.

But the calculus changes for things I deeply care about, like economic theory or ethics. Here, the optimization problem for me is the following: AI can summarize and apply research papers, concepts, and ideas in seconds (a productivity hack for today), but wrestling with the ideas or using AI to push my thinking further is what compounds into expertise over years.

It's a balance, and getting it wrong in either direction is costly.

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About Alexander Reese

Alexander Reese is a Senior AI Ethicist within the Responsible AI pillar at Google, where he develops cross-functional strategies and rigorous testing methodologies to mitigate risks across generative models, AI agents, and the broader product ecosystem.

He holds a PhD in Economics, focusing his research on ethics through the lens of microeconomics and game theory. He earned a triple Master’s degree in Management with specialization in Economics spanning Germany, France, and the UK, alongside a separate Master’s degree in Philosophy.