, the industry leader for facial recognition perhaps finally shows they care about the damage the technology is capable of. Getting a central tool that evaluates how effective all facial recognition products are is vital to stamping out bias.
“We welcome the opportunity to work with NIST on improving their tests against this API objectively, and to establish datasets and benchmarks with the broader academic community,” Amazon wrote in a statement. NIST has put out three reports on facial recognition software starting back in 2010, with a database of more than 26 million photos.
It will be interesting to see how Amazon plans to develop a one size fits all test, because its Rekognition can’t be ‘downloaded’ for testing outside of AWS. This is something that would need to happen in order to get independent results that accurately reflect how potential customers would use the service in the real world.While critics call for justification for the use of the technology and in some cases an all-out ban, artificial intelligence continues to be a billion dollar industry.
Other companies like tech giant IBM want to better train facial recognition systems in order to increase diversity and lower bias. They have released a new dataset, Diversity in Faces, with hopes it will help developers tackle gender and skin type biases. A.I. needs to be directed on how to interpret and utilize data to establish a result. If the data being presented doesn’t include enough information for a particular background , then the result isn’t as reliable. Police departments across America still struggle to improve relationships with the black community. African Americans are already incarcerated 5 times more than other races. Black women are incarcerated at twice the rate of their counterparts.
Enough of theee sparkkleleee
'African Americans are already incarcerated 5 times more than other races.' Clearly the fault of AI, not greater criminality.
let me review it