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:
