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"It was robot accounts that caused "#TrumpWon" to trend after each TV debate and allowed Trump to claim "victory"."

"Those changes happened relatively slowly, but it seems to me that employment disruption is accelerating. A large reason for this is that what used to be a room-sized super computer now fits in my pocket. Over the last two decades, I have observed a fundamental change in how we can apply advanced algorithms to sensing and controlling systems-the kinds of technology that enable more sophisticated robotic manufacturing. I can remember discussing various algorithms and believing they were well beyond what we could ever implement. Now these same algorithms are considered elementary. They are just some of the changes that have fueled the revolution in manufacturing."

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"A submarine can hide from a few noisily obvious ships and planes, but it is harder to hide from a swarm of small, virtually undetectable drones. The robots being developed here can potentially be made cheap and expendable, and capable of being deployed in large numbers to cover vast expanses of sea."

"Expert Moshe Vardi told the American Association for the Advancement of Science (AAAS): "We are approaching a time when machines will be able to outperform humans at almost any task. "I believe that society needs to confront this question before it is upon us: if machines are capable of doing almost any work humans can do, what will humans do?""

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

"EFF's Legal Director Corynne McSherry offers five lessons to keep in mind: 1. (Lots of) mistakes will be made: copyright takedowns result in the removal of tons of legitimate content. 2. Robots won't help: automated filtering tools like Content ID have been a disaster, and policing copyright with algorithms is a lot easier than policing "bad speech." 3. These systems need to be transparent and have due process. A system that allows for automated instant censorship and slow, manual review of censorship gives a huge advantage to people who want to abuse the system. 4. Punish abuse. The ability to censor other peoples' speech is no joke. If you're careless or malicious in your takedown requests, you should pay a consequence: maybe a fine, maybe being barred form using the takedown system. 5. Voluntary moderation quickly becomes mandatory. Every voluntary effort to stem copyright infringement has been followed by calls to make those efforts mandatory (and expand them)."

""There's no sense in which this is a technology that will lead the science fiction walking, talking, intelligent robot", says Furber, "because they'd need a head the size of an aircraft hangar and a nuclear power station attached to it.""

""The ethics commission has done pioneering work and has developed the world's first guidelines for automated driving. We are now implementing these guidelines." The ethics rules address a classic thought experiment: the "trolley problem.""

""My PhD students seem to have to spend three years just getting to the point where they understand what's being asked of them," he says. Once again, he looks pained. "We seem to be hitting problems that will require so many strands that one mind isn't going to be able to pull them together.""

"One great way to tell the difference is to ask AI recruiting companies what they use artificial intelligence, machine learning and/or deep learning for. Hopefully the hiring firm can what it's using the new technology for and not just that it is. If not it's time to dig a bit deeper."

"A new proposal could see the country reduce the amount of tax benefits for companies that invest in automated machinery."

"brings a fully robotic weaponry system to an airborne platform. TIKAD, "

"In the future, the team predict the software could also learn the appropriate emotion to express at a given time. "It could be mostly empathic," said Huang, adding that a challenge would be to avoid the chatbot reinforcing negative feelings such as rage."