A new study indicates that dark-toned people are more likely to get killed by a vehicle than white people.
Would you believe it? Why it matters? Why driver-less cars decide who to kill?
It would not surprise you to know how autonomous cars are hitting dark-skinned people.
Self-driving cars are racist towards black population. It is not something new that a machine, built by humans have a vision and learning system and are in-built bias. A latest study reported that how dark-toned are being murdered by Artificial Intelligence. The technology used in autonomous cars are better at recognizing people with lighter skin tones.
The researchers at the Georgia Institute of Technology reported, this should be taken as serious while designing one software for autonomous-vehicles. The technology they are using is 5% lacking accuracy for dark-toned people.
Researchers divided a large group of images containing pedestrians by skin-shades, they reported that the recognition of dark-people was less accurate than the light skinned-tone. This conclude that these vehicles are biased just like their creator and this is a serious warning.
Is it just because of Inaccurate AI? Why the systems are Plugged in with only images of light skinned-people? These autonomous-cars are performing poorly when confronted with the dark-shades.
The concerns about this study is getting longer. Researchers worry about these AI devices making things worse, how they are harming dark-toned population and not recognizing their skin shades, if you are dark-toned, there is a high chance to get hit by an autonomous car.
These incidents are catching attention from everyone, Why the engineers of autonomous-cars are coding in the images of light skinned-people in their software’s? Are they from racially diverse era? Massachusetts Institute of Technology (MIIT) Media Lab, reported that Amazon’s facial recognition had a harder time recognizing a persons gender if they were dark-skinned. This study provides enough evidence for the real problem arising that may be a source of racism-killing and developing such recognition software’s.
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