Earlier quoted context omitted.
>Letting a known faulty AI decide if someone will have money for food tomorrow is way across the line. So is the implication here that humans are less faulty, or that there's something intrinsically wrong about an AI making this decision rather than a human? If the former, then this is an issue that the technology will probably eventually solve. If the latter, well... that doesn't seem very justifiable, to say the le…
I kinda agree. We also have the mounting pressure for getting unconscious bias out of the hiring process. It would seem if we think people are fired also for bias and unfair reasons that the ai would be the likely only way to save the situation. Seems here with amazon we are quick to suggest humans are the best way but in nearly all other inclusion/diversity posts we are fighting against the humans being faulty. Inte…
This assumes that bias and unfair reasons aren't codified or part of the training set, which we've seen previously, simply isn't true.
There's an example of a company using AI to do a first pass on CVs for recruiting throw away female CVs. Another example of a company using AI to identify people in photos identify certain skin tones as being animals instead.
AI isn't a magic bullet, simply because it's still coded by humans who make mistakes, conscious or otherwise.
Or to put it another way, garbage in, garbage out.