@lanx0003 Thanks for sharing study -- medical research really isn't my area, so I'm just doing my best to make sense of it. But a few things caught my eye and I'm not sure what to make of them.
If I'm reading it right, didn't the control group -- people just using regular internet search -- actually do *better* than the LLM users at identifying the right conditions? It seemed like LLM users had notably lower odds of getting it right than people who didn't use AI at all. Maybe I'm misreading that, but if not, does that make the "skilled users will do fine" argument harder to sustain?
I also noticed the authors mention things like algorithm aversion and automation bias as part of the problem -- and those seem like they'd trip up pretty much anyone, not just less experienced users. Am I wrong about that?
And then at the end they seem to be calling for systematic redesign and better regulatory testing before deployment, rather than just hoping users get more savvy. That reads to me more like a systems problem than a user problem -- but again, this isn't really my wheelhouse so I could easily be missing somthing.
Curious what you think, especially if you read those sections differently.

