Facial recognition is a very controversial technology. Many people believe that it’s a powerful weapon that can be used in the wrong way, and will infringe on people’s privacy.
Others believe it’s a great way to identify the “bad guys” and help officials solve crimes.
But now, there’s an additional issue sparking a great deal of controversy and questioning the accuracy of the software.
A new report reveals that Amazon’s facial recognition software wrongly identified Michelle Obama and Serena Williams as “male,” and instead of addressing the issue, Amazon punted, claiming that’s a “gender” issue, not a facial recognition matter.
How To Finance reported that Amazon’s gender recognition procedure identified Black celebs Michelle Obama and Serena Williams as male.
According to MIT researcher Joy Buolamwini, Amazon’s reaction was that the software package is not “facial recognition, it is gender recognition” — as if that can make it appropriate to determine females as male.
Critics complain that Amazon’s system exhibits gender and racial bias, and modern reports have verified that bias.
Reports led by Buolamwini uncovered huge racial and gender bias in the facial recognition program.
Protests throughout the United States prompted Amazon to suspend police use of its software in 2020.
After some tweaking, the ban was lifted by Amazon, stating it hoped Congress would go a legislation to ensure moral use of the gender recognition technology. Even so, no this kind of law has been passed, in accordance to Fox Company.
You can watch the video below:
Transphobic Facial Recognition systems judge Michelle Obama.
— Capitalist Pigs (@capitaliztpigs) January 4, 2022
After this issue came to light, many tech companies are now reassessing their facial recognition data sets and algorithms for darker and more female-looking faces.
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