- cross-posted to:
- news@kbin.social
- cross-posted to:
- news@kbin.social
New research shows driverless car software is significantly more accurate with adults and light skinned people than children and dark-skinned people.
New research shows driverless car software is significantly more accurate with adults and light skinned people than children and dark-skinned people.
How so?
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
Ok, but this isn’t just about Elon and Tesla?
They tested multiple systems to see this problem.
The authors made an assumption that ad companies are using the same models as the open source project they tested this with. That’s complete nonsense and not near reality at all due to the enormous difference in data used (source, I’m working with this tech).
Unless you test with the exact same models as are used in the cars this really proves nothing and really shows that the authors own misunderstanding and bias (eg lidar vs camera discussions, or overall size of children vs adults).
First impression I got is driverless cars are worst at detecting kids and black people than drivers
I think that’s more it’s a headline that can be misinterpreted than misleading. I read it as it was detailed later, as worse at spotting kids and dark-skinned folks than at adults and light-skinned people. It can be ambiguous.
Eh, it’s not as bad as a typical news article title.