> Airbnb said its reservation-screening AI has been evaluated by the company’s anti-discrimination team and that the company often tests the system in areas suc

> Airbnb said its reservation-screening AI has been evaluated by the company’s anti-discrimination team and that the company often tests the system in areas such as precision and recall. This testing would be an interesting article of its own. How does one do this while keeping the model within the bounds of the law? For example: Say you're in a jurisdiction that prohibits discrimination based on a renter's youth. You might be able to argue that denying a college-aged person a 2 day rental over their birthday for fear of a party is not illegally discriminatory. It's much less defensible if it's a 2 month rental over their birthday. But the local law probably doesn't specify a threshold like that. So creating a threshold-based test -- which is constructively a policy -- could itself be legally thorny. (But IANAL)