You are not being asked to become an AI expert. You're being asked to do the thing your program already does well: teach critical evaluation. Your students already learn to appraise a paper, question a source, spot bias in a study, and hold uncertainty without collapsing it into false confidence. Those are exactly the skills that make someone good with AI. The subject is new. The muscle isn't.

… the bias in AI isn't a separate new problem to learn from scratch. It's the representation problem we already know, moving into a system that hides it better. Our advantage is that we already see it coming.

The GCs who evaluate AI best are the ones who already think critically about evidence, bias, and uncertainty. That's most of us. It's the core of the training. We just haven't pointed those instincts at this particular technology yet.

Eighteen families who had been waiting, some for more than a decade, got answers they didn't have before.