They just use the buzzword “AI”, but in reality it’s probably going to be a machine learning algorithm.
Take the dataset, split out the groups of people you do/don’t want to hire based on whatever criteria, train the model to be more likely to pick faces with characteristics from the “do hire” group, and less likely to pick those from the “don’t hire” group.
Then, use it on real people, and it will provide similar outcomes based on faces.
![The Economist on using phrenology for hiring and lending decisions: "Some might argue that face-based analysis is more meritocratic" […] "For people without access to credit, that could be a blessing"](https://lemmy.ml/pictrs/image/14f5a0b4-82b6-498d-a689-36c2824dd296.png){kind=link}
Disturbing. What is the proposed mechanism here? Or is it unknown?
They just use the buzzword “AI”, but in reality it’s probably going to be a machine learning algorithm.
Take the dataset, split out the groups of people you do/don’t want to hire based on whatever criteria, train the model to be more likely to pick faces with characteristics from the “do hire” group, and less likely to pick those from the “don’t hire” group.
Then, use it on real people, and it will provide similar outcomes based on faces.