Robots won’t just take our jobs – they’ll make the rich even richer

Should robots pay taxes?

It may sound strange, but a number of prominent people have been asking this question lately. As fears about the impact of automation grow, calls for a “robot tax” are gaining momentum. Earlier this month, the European parliament considered one for the EU. Benoît Hamon, the French Socialist party presidential candidate who is often described as his country’s Bernie Sanders, has put a robot tax in his platform. Even Bill Gates recently endorsed the idea.

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Why we must teach morality to robots

Every week comes a new warning that robots are taking over our jobs. People have become troubled by the question of how robots will learn ethics, if they do take over our work and our planet.

As early on as the 1960s Isaac Asimov came up with the ‘Three Laws of Robotics’ outlining moral rules they should abide by. More recently there has been official guidance from the British Standards Institute advising designers how to create ethical robots, which is meant to avoid them taking over the world.

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Wikipedia bots act more like humans than expected

Benevolent bots

‘Benevolent bots’ or software robots designed to improve articles on Wikipedia sometimes have online ‘fights’ over content that can continue for years, say scientists who warn that artificial intelligence systems may behave more like humans than expected.

Editing bots on Wikipedia undo vandalism, enforce bans, check spelling, create links and import content automatically, whereas other bots (which are non-editing) can mine data, identify data or identify copyright infringements.

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AI learns to write its own code by stealing from other programs

OUT of the way, human, I’ve got this covered. A machine learning system has gained the ability to write its own code.

Created by researchers at Microsoft and the University of Cambridge, the system, called DeepCoder, solved basic challenges of the kind set by programming competitions. This kind of approach could make it much easier for people to build simple programs without knowing how to write code.

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Artificial synapse bridges the gap to brainier computers

The human brain is nature’s most powerful processor, so it’s not surprising that developing computers that mimic it has been a long-term goal. Neural networks, the artificial intelligence systems that learn in a very human-like way, are the closest models we have, and now Stanford scientists have developed an organic artificial synapse, inching us closer to making computers more efficient learners.

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Do Robots and AI Deserve Rights?

When it comes to robot-human relations, the conversation typically centers on the welfare of the sentient. Science fiction paints us as petrified by our own creations; fears of a bot planet have influenced everything from Asimov’s “Laws of Robotics” to HAL 9000’s homicidal impulses to Skynet’s global genocide.

These human-centric anxieties are understandable. However, as our assorted bots and bits gain skills and personalities, should they be afforded some form of protection from us? It’s a question people are starting to seriously ponder.

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The Data-Driven Transformation of Intelligence

When “little green men” invaded Crimea in early 2014, they left a data trail that went largely unnoticed by the U.S. Intelligence Community (IC).  Distracted by a large Russian exercise to the west, the IC did not connect the digital dots that indicated the impending invasion.  In the Information Age, the “dots” are more plentiful and glaring as everyone now leaves a data trail.  Given that, how can intelligence analysts better gather, share, organize, and view data to reveal intent, more accurately predict behavior, and make better decisions with limited resources?

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Robots will replace over 250,000 government jobs — and that’s just the beginning

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Automation could replace 250,000 jobs in government over the next 10 to 15 years — with potentially one million more under threat. The UK’s public sector workforce stood at around 5.3 million in the middle of last year, and has been falling since 2009, when it stood at 6.4 million. But that could be slashed significantly if the public sector adopts a policy of automating predictable jobs, according to a report from thinktank Reform.

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The future of American jobs lies in the tech industry

Rows of office workers working on computers with data streaming

When Donald Trump won the election, many in Silicon Valley were flummoxed: “How could a bigoted billionaire with no government experience and a twitchy Twitter trigger finger win the U.S. presidential election?” they asked themselves.

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AI software learns to make AI software

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Progress in artificial intelligence causes some people to worry that software will take jobs such as driving trucks away from humans. Now leading researchers are finding that they can make software that can learn to do one of the trickiest parts of their own jobs—the task of designing machine-learning software.

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Why it should matter that human poker pros are getting trounced by an AI

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We’re at the halfway point of the epic 20-day, 150,000-hand “Brains Vs. Artificial Intelligence” Texas Hold’em Poker tournament, and a machine named Libratus is trouncing a quartet of professional human players. Should the machine maintain its substantial lead—currently at $701,242—it will be considered a major milestone in the history of AI. Here’s why.

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Soft-shelled exosuit might put Iron Man’s duds to shame

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The word exosuit has become all but synonymous with a hard-shelled suit that imbues its wearer with superhuman abilities—leap tall buildings, lift multi-ton items, and make the paralyzed walk—thanks to some awesome looking robotics. But some exosuit researchers in a recent study published inScience Robotics, are taking a softer approach to exosuits. These rigs have more in common with high-tech workout gear than a robotic sci-fi suit, and they could help improve human mobility.

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