I recently wrote “What is an AI PM anyways?” While most PMs are not AI PMs, most PMs will have an AI strategy, which demands PMs think about fairness, performance, and new capabilities.

AI is reshaping how we learn, but is it helping, or quietly harming? In this episode, I sit down with Dr. Stella Lee, founder of Paradox Learning and one of the most respected voices in AI ethics and EdTech strategy.

We explore the concept of adaptive learning, why personalization can backfire, and how opaque algorithms can mislabel learners, causing real-world consequences. Stella shares powerful examples from the front lines of government, education, and tech, and challenges builders to rethink what “responsible AI” really looks like.

Whether you’re a product leader, designer, educator, or simply someone trying to navigate the AI boom thoughtfully, this conversation will change the way you think about learning systems, bias, and the future of ethical tech.

Topics include:

* Why adaptive learning isn’t the same as personalization

* How recommender systems reinforce bias, even in education

* The ethical risks of data misuse, mislabeling, and surveillance

* What product teams can do to build more human-centeric AI

* Why “getting it right” doesn’t always mean doing good

Resources

Links to resources mentioned in the podcast:

* 🧠 AI Justice League

* 🧠 DAIR Institute

* 🧠 UNESCO on AI

* 🧠 Alan Turing Institute on AI

* 🧠 AI Asia Pacific Institute

* 🌐 All Tech is Human

* 📚 Book: AI Snake Oil

* 📚 Book: Your Face Belongs to Us

* 📚 Book: Unmasking AI

* 📰 Madison Square Garden Facial Recognition Fiasco

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