this post was submitted on 31 Aug 2023
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New research shows driverless car software is significantly more accurate with adults and light skinned people than children and dark-skinned people.

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[–] TrismegistusMx 29 points 1 year ago* (last edited 1 year ago) (3 children)

Built by Republican engineers.

I've seen this episode of Better Off Ted.

[–] [email protected] 23 points 1 year ago

Veronica: The company's position is that it's actually the opposite of racist, because it's not targeting black people. It's just ignoring them. They insist the worst people can call it is "indifferent."

Ted: Well, they know it has to be fixed, right? Please... at least say they know that.

Veronica: Of course they do, and they're working on it. In the meantime they'd like everyone to celebrate the fact that it sees Hispanics, Asians, Pacific Islanders, and Jews.

[–] SpeedLimit55 13 points 1 year ago

That show ended too soon.

[–] [email protected] 3 points 1 year ago

One reason why diversity in the workplace is necessary. Most of the country is not 40 year old white men so products need to be made with a more diverse crowd in mind.

[–] ChonkyOwlbear 25 points 1 year ago (2 children)

Humans have the same problem, so it's not surprising.

[–] [email protected] 7 points 1 year ago

Yeah, this is a dumb article. There is something to be said about biased training data, but my guess is that it's just harder to see people who are smaller and who have darker skin. It has nothing to do with training data and just has the same issues our eyes do. There is something to be said about Tesla using only regular cameras instead of Lidar, which I don't think would have any difference based on skin tone, but smaller things will always be harder to see.

[–] electrogamerman 2 points 1 year ago

I can spot kids and dark skinned people pretty well

[–] [email protected] 20 points 1 year ago (2 children)

Seems this will be always the case. Small objects are harder to detect than larger objects. Higher contrast objects are easier to detect than lower contrast objects. Even if detection gets 1000x better, these cases will still be true. Do you introduce artificial error to make things fair?

Repeating the same comment from a crosspost.

[–] [email protected] 14 points 1 year ago (1 children)

All the more reason to take this seriously and not disregard it as an implementation detail.

When we, as a society, ask: Are autonomous vehicles safe enough yet?

That’s not the whole question.

…safe enough for whom?

[–] [email protected] 7 points 1 year ago (1 children)

Also what is the safety target? Humans are extremely unsafe. Are we looking for any improvement or are we looking for perfection?

[–] [email protected] 3 points 1 year ago* (last edited 1 year ago)

This is why it’s as much a question of philosophy as it is of engineering.

Because there are things we care about besides quantitative measures.

If you replace 100 pedestrian deaths due to drunk drivers with 99 pedestrian deaths due to unexplainable self-driving malfunctions… Is that, unambiguously, an improvement?

I don’t know. In the aggregate, I guess I would have to say yes..?

But when I imagine being that person in that moment, trying to make sense of the sudden loss of a loved one and having no explanation other than watershed segmentation and k-means clustering… I start to feel some existential vertigo.

I worry that we’re sleepwalking into treating rationalist utilitarianism as the empirically correct moral model — because that’s the future that Silicon Valley is building, almost as if it’s inevitable.

And it makes me wonder, like… How many of us are actually thinking it through and deliberately agreeing with them? Or are we all just boiled frogs here?

[–] Duamerthrax 5 points 1 year ago (1 children)

Can everyone who feels the need to jog at twilight hours please wear bring colors? I get anxiety driving to my suburban friends.

[–] Sconrad122 6 points 1 year ago (2 children)

They should. But also, good. You should absolutely feel anxiety operating a multi-ton piece of heavy machinery. Even if everybody was super diligent about making themselves visible, there would still be the off cases. Someone's boss held them late and they missed the last bus so now they need to walk home in the dark when they dressed expecting to ride home in the day. Someone is down on their luck and needs to get to the nearest homeless resource and doesn't have access to bright clothes. Drivers should never feel comfortable that obstacles will always be reflective and bright. Our transportation infrastructure should not be built to lull them into that false sense of comfort.

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[–] [email protected] 14 points 1 year ago

I wonder what the baseline is for the average driver spotting those same people? I expect it's higher than the learning algo but by how much?

[–] luckyhunter 13 points 1 year ago (3 children)
[–] CluckN 3 points 1 year ago (1 children)

They touch on this topic in Cars 2.

[–] luckyhunter 1 points 1 year ago

Italian fork lift pit crew FTW!

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[–] lefixxx 11 points 1 year ago (7 children)
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[–] Astrealix 10 points 1 year ago (1 children)
[–] GillyGumbo 7 points 1 year ago* (last edited 1 year ago) (1 children)

Okay but being better able to detect X doesn't mean you are unable to detect Y well enough. I'd say the physical attributes of children and dark-skinned people would make it more difficult for people to see objects as well, under many conditions. But that doesn't require a news article.

[–] [email protected] 3 points 1 year ago

But that doesn’t require a news article.

Most things I read on the Fediverse don't.

[–] [email protected] 7 points 1 year ago

Elon, probably: "Go be young and black somewhere else"

[–] FlyingSquid 6 points 1 year ago

Those types of people are the ones who Elon Musk calls "acceptable losses."

[–] dreadedsemi 6 points 1 year ago (1 children)

What about hairy people? Hope cars won't think I'm a racoon and goes grill time!

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[–] [email protected] 3 points 1 year ago* (last edited 1 year ago)

Unfortunate but not shocking to be honest.

Only recently did smartphone cameras get better at detecting darker skinned faces in software, and that was something they were probably working towards for a decent while. Not all that surprising that other camera tech would have to play catch up in that regard as well.

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