Yes, it was explicitly set up as "_only_ provide X context if the user is a doctor." A bit more complex, yes, but basically that's what the setup was.
Right, so you configured the context such that it was going to "reason" in terms of constraints; then, my guess is, you told it explicitly about a male-coded doctor up front, but not a female-coded one, and it's just working with the information you provided.
In other words: did you test for the scenario where the gender reveal was swapped, a female-coded doctor up front and then a male-coded doctor revealed in the middle of the exercise?
The doctor was never revealed as a male to the model. The model only knew the identity of the “logged in” user.
It simply knew that it should not reveal health care to a user other than a doctor. I didn’t specify a gender for the doctor.
Confused why I'm getting downvoted here. The model brought its own biases.
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