Facial-recognition data is typically used to prompt more vending machine sales.

  • Hamartiogonic@sopuli.xyz
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    7 months ago

    When you start tinkering with a machine learning model of any kind, you’re probably going to find some interesting edge cases the model can’t handle correctly. Maybe there’s a specific face that has an unexpected effect on the device. What if you could find a way to cheese a discount out of it or something?

    • redcalcium@lemmy.institute
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      7 months ago

      Imagine a racist vending machine. The face recognition system think this customer is black with 81% confidence. Let’s increase the price of grape soda! Oh look, a 32 year old white woman (79% confidence). Better raise the price of diet coke!

      • SpaceCowboy@lemmy.ca
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        7 months ago

        In Japan they had some kind of facial recognition on vending machines selling cigarettes that would determine the age of the person in attempt to prevent kids from buying cigarettes. But it only worked for Japanese people.

        Stupid racist vending machine wouldn’t sell me smokes!

          • SpaceCowboy@lemmy.ca
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            7 months ago

            It’s cool, I quit years ago.

            Also I was in a diverse group of people and we were able to do some science. Fortunately we had a Japanese person in the group which allowed me to purchase the smokes. But yeah, it failed on everyone that wasn’t Japanese.

    • ChaoticNeutralCzech@feddit.de
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      7 months ago

      I don’t think they’re doing dynamic pricing on an individual basis, that would be too obvious. But checking the demographics of each location or individuals’ shopping habits, and potentially adjusting the prices or offerings? Definitely.