Police officers use facial recognition glasses to make criminals confess

…but at what cost to everyone’s privacy?

Awesome, not awesome.

“…In the often chaotic environment of an emergency room … the signs of a heart attack are not infrequently missed, and the consequences are profound. So an automated way of accurately and reliably spotting the telltale signs would be a significant step forward. But despite much research in this area, automated heart monitoring systems are significantly less reliable than trained cardiologists… Today, that looks set to change thanks to the work of … [researchers who] have developed a neural network that can spot the signs of myocardial infarction, and they say the machine matches the performance of human cardiologists for the first time. “ — Emerging Technology from the arXiv Learn More from MIT Technology Review >

#Not Awesome
“…[T]he rear-endings [a self-driving Cruise was hit by a Cruise driven by a human employee] demonstrate that the technology is far from perfect. Cruise cars follow road laws to a T, coming to full stops at stop signs and braking for yellow lights. But human drivers don’t — and Cruise cars will be self-driving among humans for decades to come…The fact that a driver Cruise trained to work with these vehicles still managed to rear-end one emphasizes exactly how flawed they are.” — Aarian Marshall, Reporter Learn More from WIRED >

What we’re reading.

1/ Criminals in China, knowing that their every movement has been recorded, are quick to confess to crimes when police officers threaten to whip out their new AI-enabled facial recognition glasses. Learn More from The New York Times >

2/ Neuroscientists develop an algorithm that can track and label animals’ moving body parts, and it could be eventually used to power everything from the analysis of a professionals pitcher’s mechanics to the development of surgical robots. Learn More from The Atlantic >

3/ For Facebook to continue to make gobs of money, its billions of users need to keep clicking on articles (ads) in their News Feed — but the headlines that get the most clicks might be the reason people lose interest in the product. Learn More from WIRED >

4/ Facial recognition software that can reportedly detect people’s psychology and sexual orientation could lead us into a new, high-tech era of discrimination. Learn More from The Guardian >

5/ Judges throughout the US use a score produced by an algorithm to that influences their decision ion whether or not to sentence someone to prison. Learn More from Slate >

6/ If a company touts the “AI” it uses in its product, don’t be surprised to learn that the “AI” powering the experience is really just a team of of under-paid workers. Learn More from The Guardian >

7/ E-commerce clothing sites are using algorithms to come up with t-shirt designs that will be big sellers, a job once reserved for human stylists. Learn More from The New York Times >

Links from the community.

“Arm at Data Science Africa 2018” submitted by Damon Civin. Learn More from Noteworthy >

“AI Roadblock & Generalization Error” submitted by Laxman Sahni. Learn More from Noteworthy >

“Guide to Machine Learning(in R) for Beginners : Part 1” submitted by Parul Pandey. Learn More from Noteworthy >

“Google’s DeepMind is using AI to explore dopamine’s role in learning” submitted by Skychain Official Channel. Learn More from Noteworthy >

“Debunking Google’s Death AI” submitted by Stephen Chen. Learn More from Noteworthy >

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