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.
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.
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.
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?
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.
I would say it's because dark stuff on dark background is harder to detect than other way around. Roads are dark, shadows are dark, pavement is sometimes dark, houses are quite often dark, so it blends.
I'd rather call for more powerful algorithms than bigger data sets.
because proper driverless cares properly use LIDAR, which doesn't give a shit about your skin color.
And can easily see an object the size of a child out to many metres in front, and doesn't give a shit if its a child or not. It's an object in the path or object with a vector that will about to be in the path.
So change 'Driverless Cars" to "Elon's poor implementation of a Driverless Car"
Or better yet..
"Camera only AI-powered pedestrian detection systems" are Worse at Spotting Kids and Dark-Skinned People
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.
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.
This place is just as bad as Reddit. Sometimes it's like being on r/Politics. I'm not sure why they left if they just brought the hyper political toxicity with them.