- What do you see as kind of the biggest source…of discrimination when it comes to A.I.?…- Well, I mean, discrimination's in the underlying data,…so that's the big challenge,…and so a how do you account for that,…try to clean it up, in a sense?…I mean, I'm recording this from Florida,…and Florida had one of the biggest issues with this…because they were using a machine learning algorithm to try…and recommend sentencing for people who were going…through the Florida judicial system here,…and it turned out that the system was incredibly biased…against African Americans,…that it would recommend a higher sentence just based…on their skin color,…and so there was nothing particularly wrong…with the machine learning algorithm.…
It was just that the underlying data…of all the jury trials found that here in Florida,…if someone was African American,…they were more likely to receive higher sentences,…and so you have this machine learning algorithm…that just takes that human bias…and just sort of super sizes it…and makes it look like it's scientific,…
Skill Level Intermediate
Data Visualization: A Lesson and Listen Serieswith Bill Shander3h 2m Intermediate
Everyday Statistics, with Eddie Davilawith Eddie Davila2h 34m Intermediate
Data in our lives1m 50s
Episode One: Predictions
Episode Two: Discrimination
Episode Three: Ethical Considerations
4. Episode Four: The little chips that control you
Episode Five: The Quantified Self
Episode Six: The fork in the road
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