sabinegirl t1_j1tjiq2 wrote
Reply to comment by BraveNewCurrency in NYC's AI bias law is delayed until April 2023, but when it comes into effect, NYC will be the first jurisdiction mandating an AI bias order in the world, revolutionizing the use of AI tools in recruiting by Background-Net-4715
this, the ai is gonna have to exclude names and even colleges from the data sets, or it will be a mess.
BraveNewCurrency t1_j1vaoml wrote
This is the wrong solution.
There are hundreds of other things the AI can latch on to instead: males vs females write differently, they often have different hobbies, they sometimes take different classes, etc.
The problem is lazy people who want to have the computer magically pick "good people" from "bad people" when 1) the data is biased, 2) they are feeding the computer literally thousands of irrelevant data points, 3) nobody has ever proved that the data can actually differentiate.
https://www.brainyquote.com/quotes/charles_babbage_141832
What we need are more experiments to find ground truth. For example, Google did a study and found that people who went to college only had a slight advantage, and only for the first 6 months on the job. After that, they could find no difference.
If that researcher was studying thousands of irrelevant data points, that insight probably would have been lost in the noise.
cheapsexandfastfood t1_j22gqqu wrote
Seems like Google should be able to figure it out if anybody could.
They have enough resumes and enough employee review data to start with.
BraveNewCurrency t1_j273tjw wrote
Did you read their solution to the Gorilla thing? (Linked above?)
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