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Scoop.it!
In June of 2018, in the midst of all the other letters demanding that the company stop police use of Rekognition, Raji and Buolamwini expanded the Gender Shades audit to encompass its performance. The results, published half a year later in a peer-reviewed paper, once again found huge technical inaccuracies. Rekognition was classifying the gender of dark-skinned women 31.4 percentage points less accurately than that of light-skinned men. 
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Scoop.it!
Scott Crouch and his college buddies built Mark43 to help police do their job more efficiently and effectively.
Farid Mheir's insight:
WHY THIS IS IMPORTANT Every industry is being transformed by digital, even those that were not so long ago considered off limit. Great example, the police force, which have systems that date from another era, can now benefit from cheap communication, cloud services, big data and analytics services to deliver mobile police insight and tools using everyday mobile phones and tablets.
Scoop.it!
Farid Mheir's insight:
Very interesting insight, although very thin analysis. I agree healthcare, construction, police, education, travel will be transformed. For sure advertising as well. But it looks a lot like the internet in the early days; a new information delivery medium. Little emplhasis seems to be placed on collaboration of what was called 2.0. Maybe we'll have glasses 2.0?
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Curated by Farid Mheir
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WHY IT MATTERS:Â this article presents detailed numbers and references that show facial recognition is not accurate for dark skinned persons and that Amazon technology called rekognition is in use by law enforcement via ring doorbells...