[ghiculescu]

What effects need an antidote?

[reaperducer]

What effects need an antidote?

Which part of the article did you skip?

Start with the part where AI hiring tools favor people named "Jared."

[ghiculescu]

Humans do that too. Regulating AI won’t change that.

[constantly]

I can tell a human what they’re doing and they can be aware of their bias and guard against it. This is part of the point of “unconscious bias” training. AI can’t do this.

If you’re saying humans are consciously hiring people named Jared, they shouldn’t be allowed to provide hiring feedback.

[peterfirefly]

AI would probably do it less than humans. If AI also does it, then Jareds probably really are better the employees.

(Or the AI was used incompetently. That's always an option. Was AI the reason why US universities discriminated illegally against non-blacks and non-hispanics? I really doubt it.)

[djkivi]

Do not tell Subway.

[peterfirefly]

Noticing how the world is. That's dangerous and "biased".

[kibwen]

The problem here is conflating "the world" with "the training set". If your data isn't representative of the world, then, yes, that introduces bias.

[abigail95]

i dont want a fair sample of the whole world.

i want a highly biased sample of attributes in the extreme tail end which will have all sorts of weirdness in it.

at least 2/3 of the population are unteachable for the management/engineering i want.

i don't want applicants that look anything like normal.

is that now illegal?

[fsckboy]

the comment you are replying to is saying that if the data is representative of the world, you will then be termed biased because the people doing the labelling think the world is biased.

[crooked-v]

"How the world is" includes "people named Jared are better employees", apparently.