Steve Jones, Global vice president of big data, Capgemini — Quartz
Can an algorithm be racist? It’s a question that should be of concern for all data-driven organizations.
From analytics that help law enforcement predict future crimes, to retailers assessing the likelihood of female customers being pregnant (in the case of Target, without their knowledge), the increasing scale of computer cognizance is raising difficult ethical questions for business.
By Stephen Cass with Charles Q. Choi — Spectrum
It seemed like the nascent augmented-reality industry was on a roller coaster at the start of the year. Things looked bad when Google announced that it was terminating sales of its Glass headset in favor of developing some new version to be announced at some time in the future. (Possibly in a galaxy far, far away.) But then the future looked bright again when Microsoft unveiled its HoloLens AR headset at a razzle-dazzle press event in late January.
But the truth is that well before the debut of HoloLens, the AR ecosystem had been moving away from Google’s model of always-available wearable computing and toward the idea that AR headsets should be—at least for now—something you use only for specific tasks. At the Consumer Electronics Show (CES) in Las Vegas just after New Year’s, most of the capabilities advertised a few weeks later by Microsoft for its HoloLens prototypes were already on display on the show floor (albeit spread among several exhibitors), and they were mostly doing industrial and enterprise work.
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by Tanya Lewis — Live Science
From Apple’s iPhone assistant Siri to the mechanized attendants at Japan’s first robot-staffed hotel, a seemingly disproportionate percentage of artificial intelligence systems have female personas. Why?
“I think there is a pattern here,” said Karl Fredric MacDorman, a computer scientist and expert in human-computer interaction at Indiana University-Purdue University Indianapolis. But “I don’t know that there’s one easy answer,” MacDorman told Live Science.
Graham Templeton — Motherboard
The robot stares down at the sickly old woman from its perch above her home care bed. She winces in pain and tries yet again to devise a string of commands that might trick the machine into handing her the small orange bottle just a few tantalizing feet away. But the robot is a specialized care machine on loan from the hospital. It regards her impartially from behind a friendly plastic face, assessing her needs while ignoring her wants.
If only she’d had a child, she thinks for the thousandth time, maybe then there’d be someone left to help her kill herself.
Hypothetical scenarios such as this inspired a small team of Canadian and Italian researchers to form the Open Roboethics Initiative (ORi). Based primarily out of the University of British Columbia (UBC), the organization is just over two years old. The idea is not that robotics experts know the correct path for a robot to take at every robo-ethical crossroad—but rather, that robotics experts do not.
“Ethics is an emergent property of a society,” said ORi board member and UBC professor Mike Van der Loos. “It needs to be studied to be understood.” Read more
This was one of the best tributes to Leonard Nimoy, from a real spaceship:
— Terry Virts (@AstroTerry) February 28, 2015
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By Graeme McMillan — Wired
Leonard Nimoy, the legendary actor known to the world as Star Trek‘s Mr. Spock, died at his home in Los Angeles this morning. He was 83. Almost as soon as word of his passing hit the Internet, friends, former co-stars, and fans began expressing grief over the actor’s passing.
Nimoy was hospitalized earlier this week for chest pains, and his wife Susan Bay Nimoy has confirmed that he died from end-stage chronic obstructive pulmonary disease. He announced his sickness in February of last year, blaming it on his smoking habits of decades earlier.
“As you all know, my Grandpa passed away this morning at 8:40 from end-stage chronic obstructive pulmonary disease,” Nimoy’s granddaughter, Dani, posted via the actor’s Twitter. “He was an extraordinary man, husband, grandfather, brother, actor, author-the list goes on- and friend. Thank you for the warm condolences. May you all LLAP.”
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By David J. Hill — Singularity Hub
Telepresence robots are awesome, but the experience can be frustrating at times. The reason? They lack arms. Whether you want to examine an object yourself, open a door, or pretend to be the Terminator with a Nerf gun, the lack of even a rudimentary claw can leave you feeling like a half a person, a mind wandering atop a remote control toy.
Not anymore.
Continue reading “A Telepresence Robot with a Gripping Arm? ORIGIBOT Is a Dream Come True” »
Quoted: “Blockchains are thus an intriguing model for coordinating the full transactional load of any large-scale system, whether the whole of different forms of human activity (social systems) or any other system too like a brain. In a brain there are quadrillions of transactions that could perhaps be handled in the universal transactional system architecture of a blockchain, like with Blockchain Thinking models.”
Read the IEET brief here > http://ieet.org/index.php/IEET/more/swan20150217
By Jason Dorrier — Singularity Hub
The blueprint of every living thing on the planet is encoded in DNA. We know the stuff can hold a lot of information. But how much is a lot? We could theoretically encode the world’s data (from emails to albums, movies to novels) on just a few grams of DNA. DNA already preserves life itself—now it might also preserve life as we live it.
According to New Scientist, a gram of DNA could theoretically store 455 exabytes of data. And Quartz drives the point home. If the world has about 1.8 zettabytes of data, according to a 2011 estimate, all the world’s information would fit on a four-gram DNA hard drive the size of a teaspoon.
Written by Victoria Turk — Motherboard
In 2013, researchers Carl Frey and Michael Osborne of the Oxford Martin School dropped the bombshell that 47 percent of US jobs were at risk of computerisation. Since then, they’ve made similar predictions for the UK, where they say 35 percent of jobs are at high risk.
So what will our future economy look like?
“My predictions have enormously high variance,” Osborne told me when I asked if he was optimistic. “I can imagine completely plausible, incredibly positive scenarios, but they’re only about as probable as actually quite dystopian futures that I can imagine.”
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Quoted: “Blockchains are thus an intriguing model for coordinating the full transactional load of any large-scale system, whether the whole of different forms of human activity (social systems) or any other system too like a brain. In a brain there are quadrillions of transactions that could perhaps be handled in the universal transactional system architecture of a blockchain, like with 
