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Awful-AI: A curated list to track current scary usages of AI

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21–30 of 48 posts

Re: Awful-AI: A curated list to track current scary usages of AI

#21

A huge portion of these seem to be "I don't like the fact that this heuristic is strongly predictive", not any sort of complaint about the implementation or use of the prediction engine.

Fairness and predictivity are different concerns. Many of my interests, hobbies, and behaviors are strongly predictive of poor public speaking skills, but it would still be very unfair if my company installed an AI saying I can't give conference speeches because I'll probably do poorly.

Re: Awful-AI: A curated list to track current scary usages of AI

#22
post #7

Earlier quoted context omitted.

You can blame users for expecting AI to solve everything, but that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise ( and introduces dangerous patterns along the way).

>that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise And who is going to monitor and enforce this? You?

Perhaps by "give free reign to [x]" they just mean "not consider morally liable for [doing x]"?

Re: Awful-AI: A curated list to track current scary usages of AI

#23

A huge portion of these seem to be "I don't like the fact that this heuristic is strongly predictive", not any sort of complaint about the implementation or use of the prediction engine.

Yea, I mean there's a lot of strongly-predictive heuristics that are unethical to act on, though (e.g., "if applicant is pregnant, then she will take maternity leave, and therefore be less productive employee year 1, so don't hire" Why shouldn't automated decision-making processes be held to the same ethical standards as manual ones?

Re: Awful-AI: A curated list to track current scary usages of AI

#24
post #2

Ehh.. the discrimination part sounds a lot like: "we had an AI look at statistics and it reported the patterns we choose to ignore".

The issue is using the correlation to make predictions. You're just perpetuating the trend instead of trying to change it.

Re: Awful-AI: A curated list to track current scary usages of AI

#25

A huge portion of these seem to be "I don't like the fact that this heuristic is strongly predictive", not any sort of complaint about the implementation or use of the prediction engine.

Exactly, but it's still a problem. Using existing trends that we should be changing to continue perpetuating them through prediction is what's at the heart of the issue.

Re: Awful-AI: A curated list to track current scary usages of AI

#26
post #7

Earlier quoted context omitted.

You can blame users for expecting AI to solve everything, but that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise ( and introduces dangerous patterns along the way).

>that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise And who is going to monitor and enforce this? You?

At a minimum, the engineers and researchers. Deploying an AI sentencing model or AI lie detector should be treated with the same seriousness as deploying a new train or bridge; engineers shouldn't be willing to sign off on such a thing without strong, well-founded reasons to believe it won't hurt anyone.

Re: Awful-AI: A curated list to track current scary usages of AI

#27

Earlier quoted context omitted.

>that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise And who is going to monitor and enforce this? You?

At a minimum, the engineers and researchers. Deploying an AI sentencing model or AI lie detector should be treated with the same seriousness as deploying a new train or bridge; engineers shouldn't be willing to sign off on such a thing without strong, well-founded reasons to believe it won't hurt anyone.

Let's stop calling them engineers then.

Re: Awful-AI: A curated list to track current scary usages of AI

#28
post #7

Earlier quoted context omitted.

You can blame users for expecting AI to solve everything, but that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise ( and introduces dangerous patterns along the way).

>that doesn't mean we give Engineers and Researchers free reign to package, publish, and distribute AI software that falls short of its promise And who is going to monitor and enforce this? You?

Ideally we would have a professional organization, like literally every other discipline that calls itself Engineering, both to educate, license, and enforce ethical and safety norms, and to support engineers asked to violate those boundaries by providing a public avenue for grievance against companies trying to behave unethically or unsafely.

Re: Awful-AI: A curated list to track current scary usages of AI

#30

Watch this: https://youtu.be/stHLrBs-_iE (Based off of the Stanford Prof’s example during a TED talk of using <$100 to assassinate people with AI, A CO2 canister, a nail, and a drone).

Can we chill with the throbbing bass though?
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