…it will further concentrate power among a small elite if we don’t take steps to stop it.”

Source (edited with Prisma)

Awesome, not awesome.

#Awesome
“A machine-learning study that analysed hundreds of thousands of earthquakes beat the standard method at predicting the location of aftershocks….Perhaps more importantly, DeVries says, the neural network also hinted at some of the physical changes that might have been happening in the ground after the main shock. It pointed to certain parameters as potentially important — ones that describe stress changes in materials such as metals, but that researchers don’t often use to study earthquakes.” — Alexandra Witze, Contributing Correspondent Learn More from Scientific American >

#Not Awesome
“Artificial intelligence could erase many practical advantages of democracy, and erode the ideals of liberty and equality. It will further concentrate power among a small elite if we don’t take steps to stop it.” — Yuval Noah Harari, Israeli Historian, Professor and Author Learn More from The Atlantic >

What we’re reading.

1/ President Trump’s accusations that Google favors anti-Trump news outlets are baseless, but they’ll force the company to discuss real bias in its algorithms — like favoring signals that make the search engine vulnerable to misinformation campaigns. Learn More from The New York Times >

2/ Engineers are trained to optimize the algorithms that we all depend on — to curate our newsfeeds and keep our planes in the air, but optimization for an algorithm can mean catastrophe for a person. As algorithms begin to optimize themselves, the engineers who build them must be able to answer one question: “what’s the most extreme possible behavior in a system I thought I was optimizing?” Learn More from The Guardian >

3/ Pressure is mounting in the U.S. government to keep up with China’s plans to militarize AI technology, but it may not be possible at a time when the relationship between Silicon Valley and Washington is so strained. Learn More from The New York Times >

4/ “Catastrophic forgetting” is a major hurdle that keeps AI systems from reaching human-level intelligence. AI systems struggle to learn from a new set of training data without erasing everything learned in the past. Learn More from Futurism >

5/ Researchers are trying to instill a sense of “curiosity” in AI programs to make them develop interesting behaviors. Learn More from The Economist >

6/ For the first time ever, the U.S Customs and Border Protection’s used its new facial recognition technology to detect an impostor who tried make it through the Washington Dulles airport with someone else’s passport. Learn More from U.S. Customs and Border Protection >

7/ The first autonomous vehicle startup that breaks through to the main stream may be delivering snacks, not people, in its back seat. Learn More from MIT Technology Review >

Links from the community.

“How to Start in Machine Learning and Data Science” submitted by (@samiur1204). Learn More from Semanti.ca >

“Machine learning environment setup within 10min!!!” by Bala Venkatesh (@balavenkatesh22). Learn More from Noteworthy >

“Python for big data computation on a single computer” by Mateo Restrepo (@mateini_12893). Learn More from Noteworthy >

“A Recipe For AI in Africa” by Alexander Udu Tsado (@xelatsads). Learn More from Noteworthy >

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“Artificial intelligence could erase many practical advantages of democracy… was originally published in Machine Learnings on Medium, where people are continuing the conversation by highlighting and responding to this story.



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