11–20 of 92 posts
>This is due to bias in open-source AI, on which self-driving cars rely, researchers say. Or they are simply less visible.
What's "less visible" to the human eye shouldn't be used to lower our expectations of what can be visible to a machine.
Anyone know how likely it is that this is the result of imbalanced training data? You have fewer dark-skinned people and children in the training data, you end up with a model less-skilled at detecting those people.
From what I can see, a couple of the detectors used really seem shit overall, making the combined data of questionable value.
>bias towards dark-skin pedestrians increases significantly under scenarios of low contrast and low brightness
It won't be long till they won't just be detecting people, by identifying specifically which people they are. Think of the data! All those cars logging time/location of all those people. (which, of course, will only be used for good and the occasional targeted ad)
It won't be long till they won't just be detecting people, by identifying specifically which people they are. Think of the data! All those cars logging time/location of all those people. (which, of course, will only be used for good and the occasional targeted ad)
I was under the impression that commercial self-driving software was deeply proprietary and confidential, and there is no way to know that this study will generalize if run on state of the art detectors. Tesla and Cruise are name-checked in the article - how do we know this isn’t a problem they have worked extensively on and made great improvements to, relative to the open source components?
Feels like a case of outrage-for-clicks.