Under the hood of the U.S. military’s facial recognition system

Awesome, not awesome.

#Awesome
“More women in India die from cervical cancer than in any other country. This preventable disease kills around 67,000 women in India every year, more than 25% of the 260,000 deaths worldwide…[a new] AI model can now differentiate between normal and abnormal [Pap] smear slides with accuracy and is currently under validation in labs for a period of three to six months…““The API has the potential of increasing the productivity of a cytopathology section by about four times. In a future scenario of automated slide preparation with assistance from AI, cytopathologists can do a job in two hours what would earlier take about eight hours!”” — Manish Singh, Reporter Learn More from TechCrunch >

#Not Awesome
“The New York Department of Financial Services is opening a probe into the new Apple Card’s algorithms when determining credit limits after series of tweets from a technology entrepreneur in the past few days alleged gender discrimination…“Goldman and Apple are delegating credit assessment to a black box,” Hansson said. “It’s not a gender-discrimination intent but it is a gender-discrimination outcome.”” Learn More from MarketWatch >

What we’re reading.

1/ The U.S. military is building a facial recognition system that will essentially become a global surveillance system. Its goal is to “deny our adversaries anonymity allows us to focus our lethality… like ripping the camouflage netting off the enemy ammunition dump.”” Learn More from OneZero >

2/ Spotify’s algorithms don’t just determine which songs to recommend to you, they influence the actual songs that artists create. Learn More from The Week >

3/ AI algorithms that “embrace creative exploration of all possible solutions” might be more likely to outpace human intelligence than ones designed to achieve a specific goal. Learn More from Quanta magazine >

4/ The U.S.’s immigration policies will severely limit the country’s competitive advantage in AI if top talent is shooed away. Learn More from Axios >

5/ Unregulated AI hiring tools may further prejudice the hiring process against certain groups of job seekers. Learn More from MIT Technology Review >

6/ Historically, AI has been used in the medical field to predict when diseases like cancer occur. Today, scientists have started using it to better understand why diseases occur in the first place. Learn More from Harvard Business Review >

7/ Law enforcement uses machine learning to identify sex-trafficking ads and help victims escape dangerous situations. Learn More from Fast Company >

Links from the community.

“How to build a machine learning project in Elixir.” submitted by Samiur Rahman (@samiur1204). Learn More from Erlang Solutions >

“This Trippy T-Shirt Makes You Invisible to AI” submitted by Avi Eisenberger (@aeisenberger). Learn More from Vice >

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Under the hood of the U.S. military’s facial recognition system was originally published in Machine Learnings on Medium, where people are continuing the conversation by highlighting and responding to this story.