New York City will be among the first cities in the US to earnestly tackle black box algorithms, the automated decision-making systems that are rarely made public, but have greater and greater influence over lives. A bill passed by the city council this week orders the creation of a local task force to monitor and assess the effect of these algorithms on the public. Unless Mayor Bill de Blasio vetoes the bill, which he is not expected to, the task force will audit the city’s algorithms for disproportionate impacts on different communities and come up with ways to inform the public on the role of automation.
Google’s artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy.
For most of my adult life, I have been maniacally focused on my work. I would answer emails instantly during the day, and even get up twice each night to ensure that all the emails were answered. Yes, I would spend time with my family members—but just so they didn’t complain, and not an hour more.
If climate change, nuclear weapons or Donald Trump don’t kill us first, there’s always artificial intelligence just waiting in the wings. It’s been a long time worry that when AI gains a certain level of autonomy it will see no use for humans or even perceive them as a threat. A new study by Google’s DeepMind lab may or may not ease those fears.
Researchers from the Google Brain deep learning project have already taught AI systems to make trippy works of art, but now they’re moving on to something potentially darker: AI-generated, human-independent encryption. According to a new research paper, Googlers Martín Abadi and David G. Andersen have willingly allowed three test subjects — neural networks named Alice, Bob and Eve — to pass each other notes using an encryption method they created themselves.
With much of our attention focused the rise of advanced artificial intelligence, few consider the potential for radically amplified human intelligence (IA). It’s an open question as to which will come first, but a technologically boosted brain could be just as powerful — and just as dangerous – as AI.
DEEP NEURAL NETWORKS are remaking the Internet. Able to learn very human tasks by analyzing vast amounts of digital data, these artificially intelligent systems are injecting online services with a power that just wasn’t viable in years past. They’re identifying faces in photos and recognizing commands spoken into smartphones and translating conversations from one language to another. They’re even helping Google choose its search results. All this we know. But what’s less discussed is how the giants of the Internet go about building these rather remarkable engines of AI.