The Ethics of Human-AI Collaboration

About half of companies using AI admit they don’t formally check it for bias—yet they still let it screen job applicants, approve loans, and flag crimes. In this episode, we’ll step into those decision rooms and ask: who’s really responsible when the AI gets it wrong?

In this episode, we’re going to move closer to the front lines of human-AI collaboration—where real people feel the impact of abstract design choices.

A doctor double-checking an AI-generated diagnosis. A loan officer overriding an automated rejection. A content moderator pushing back when a system flags activism as “harmful.” These aren’t edge cases; they’re becoming ordinary work.