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>This is due to bias in open-source AI, on which self-driving cars rely, researchers say. Or they are simply less visible.
by GaggiX 3y ago
>This is due to bias in open-source AI, on which self-driving cars rely, researchers say.
Or they are simply less visible.
- gcanyon 3y ago> This is due to bias in open-source AI, on which self-driving cars rely, researchers say. The second line in the article
- hardware2win 3y agoHow do they know?
- throw__away7391 3y agoBecause that is the answer to every single question.
- DennisP 3y agoYes but by "bias" they just mean the miss rate is different. Digging into the study, they talk about visibility and contrast, and checked whether the problem is worse at night (which it is). They don't appear to be suggesting that the algorithms are prejudiced against darker-skinned people.
- cj 3y agoWhat's "less visible" to the human eye shouldn't be used to lower our expectations of what can be visible to a machine.
- GaggiX 3y agoWell if it's using optical recognition then lower contrast or smaller object will always make the job more difficult then a bigger object with more contrast; then the reason why the model is better at recognizing white adult people. Even if the car is never going to strike a child or a black person the model recognition would still be better with them.
- willcipriano 3y agoDon't let physics get in the way of your ideals.
- elcano 3y agoYou mean, to all possible sensors and spectrum signals in the arsenal?
- lsaferite 3y agoPretty sure they are discussing 3-band cameras between 400nm and 700nm (roughly). If we start adding multi-spectral or hyper-spectral cameras to the mix then you'd have a lot more information to use, but then you'd have a lost more information to process.