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It would be impossible to pull the plug on AI that wanted to harm humans, scientists warn

Daily Mail - Science & tech

The idea of an artificial intelligence (AI) uprising may sound like the plot of a science-fiction film, but the notion is a topic of a new study that finds it is possible and we would not be able to stop it. A team of international scientists designed a theoretical containment algorithm that ensures a super-intelligent system could not harm people under any circumstance, by simulating the AI and blocking it from wrecking havoc on humanity. However, the analysis shows current algorithms do not have the ability to halt AI, because commanding the system to not destroy the world would inadvertently halt the algorithm's own operations. Iyad Rahwan, Director of the Center for Humans and Machines, said: 'If this happened, you would not know whether the containment algorithm is still analyzing the threat, or whether it has stopped to contain the harmful AI.' 'In effect, this makes the containment algorithm unusable.' AI has been fascinating humans for years, as we are in awe by machines that control cars, compose symphonies or beat the world's best chess player at their own game.

Playing Go with Darwin - Issue 94: Evolving


"I have lately been especially attending to Geograph. Distrib, & most splendid sport it is,--a grand game of chess with the world for a Board." In 1938, Yasunari Kawabata, a young journalist in Tokyo, covered the battle between master Honinbo Shusai and apprentice Minoru Kitani for ultimate authority in the board game Go. It was one of the lengthiest matches in the history of competitive gaming--six months. In his 1968 Nobel Prize-winning novel inspired by these events, The Master of Go, Kawabata wrote of the decisive moment when, "Black has greater thickness and Black territory was secure, and the time was at hand for Otake's [Kitani's pseudonym in the book] own characteristic turn to offensive, for gnawing into enemy formations at which he was so adept."

Are Robots Competing for Your Job? The Very Real Trend of Automation


Are robots competing for your job? The idea of robots taking our jobs isn't new, but as Artificial Intelligence (AI) becomes more advanced and more tasks are automated, is there a job a robot cannot do and where do human beings fit into the workforce of the future. Job automation likelihood is increasingly a reality with technology replacing human jobs. Technology is accelerating at an unbelievable pace, and artificial intelligence has already become ubiquitous. On the one hand, AI might not pose the threat that Hollywood would have us believe: brilliant robots that kill or enslave humanity.

'Bytes' of Fury: AI Knows Kung Fu


Artificial intelligence has been a brainless idiot for more than a half-century, but humanity has kept trying to replicate intelligence with the fervor of "Young Frankenstein". Now, technological rigor has delivered AI from the murky ferment of hype and science fiction. AI has become ubiquitous, but it is not close to human. Alan Turing, credited with inventing AI, challenged humanity to create an entity so artificially intelligent that a human could not distinguish whether they were talking with a "robot" or another human, but passing the "Turing Test" isn't our goal. The reality is, Amazon's amazing customer service bot pretty much knows why you are chatting with it even before you type, that's the kind of knowledge we want from our robots.

The present and future scenario of Artificial Intelligence -


Artificial Intelligence has progressed significantly since the famous triumph of IBM's PC DeepBlue over Kasparov in 1997. Everything began a long time before the ruler of chess lost before a machine, with Norbert Wiener, the dad of robotics as he's named, who was the first to conjecture that all clever conduct was the aftereffect of input instruments and these could be recreated by machines. Today the improvement of A.I. is moving toward the second when the limits among people and machines will be seriously obscured. What used to be only a Si-Fi film content, presently is a reality. On account of advances in AI, these days computers can interpret oral and composed discussions, perceive photographs and faces, or basically be your own collaborator. Presently, how do organizations in various areas utilize innovation?

AI Algorithm From Facebook Can Play Chess & Poker With Equal Ease


In recent news, the research team at Facebook has introduced a general AI bot, ReBeL that can play both perfect information, such as chess and imperfect information games like poker with equal ease, using reinforcement learning. As the company says, it is a big step towards creating a general AI algorithm that could perform well over a range of games. The researchers believe that this algorithm will have real-world applications, including dealing with negotiations, fraud detection, and even cybersecurity. AlphaZero from DeepMind rapidly caught the fancy of the AI research community when it was released back in 2017. An AI-based program that could play games like chess, shogi, and Go is not unheard of, but AlphaZero is different as it uses reinforcement learning with search (RL Search) to'learn on its own' by mimicking the world-class players.

AI has cracked a problem that stumped biologists for 50 years. It's a huge deal.


DeepMind, an AI research lab that was bought by Google and is now an independent part of Google's parent company Alphabet, announced a major breakthrough this week that one evolutionary biologist called "a game changer." "This will change medicine," the biologist, Andrei Lupas, told Nature. The breakthrough: DeepMind says its AI system, AlphaFold, has solved the "protein folding problem" -- a grand challenge of biology that has vexed scientists for 50 years. Proteins are the basic machines that get work done in your cells. They start out as strings of amino acids (imagine the beads on a necklace) but they soon fold up into a unique three-dimensional shape (imagine scrunching up the beaded necklace in your hand).

Artificial intelligence and machine learning: A new blueprint for the fintech industry


The term Artificial Intelligence was coined 70 years ago as the stuff of fantasy fiction and about 50 years post that nothing much moved. Then, in 1997 like a bolt from the blue, IBM's Deep Blue defeated world chess champion Garry Kasparov 4-2 in a six game series. Since then, machines have beaten humans at far more complex games – Go, Poker, Dota 2. Computing power grew over a trillion times in the last 50 years. Can you name any industry/trend that has evolved by this order of magnitude? The computer that helped navigate Apollo 11's moon landing had the power of two Nintendo consoles. You have a lot more power in your smartphone today.

What Artificial Intelligence Can Bring to Digital Marketing Strategies


The subject of AI is, arguably, one of the most nebulous within the broader scope of the tech industry. Its long list of potential applications seems never-ending, and it would appear that every industry stands to gain significant benefit from utilising it within almost every stage – whether that stage lies in creation, production, market research, or customer research and contact. Artificial intelligence is, however, also relatively new. While we have been toying with the idea since the advent of computers themselves, but the technology has come a long way from beating chess players and basic problem-solving skills. Its applications for the world of digital marketing are wide and varied, but we likely have a long way to go before we can claim to have realised its full potential in this industry.

A forgotten story of Soviet AI


The names of Turing, Minsky, and McCarthy, the founders of Computer Science and Artificial Intelligence in the west, are now familiar to everybody. However, little is known about the history of AI developments under the Iron Curtain of the USSR, although sometimes the competition between two systems was not less acute that in space. Below is a forgotten story of Soviet AI presented through the lens of the life of heroes of those events, Andrey Leman and his colleagues. The year 1955 can be considered as the start of Soviet AI, when a group of mathematicians got access to computer M-2 and began software engineering to solve scientific inquiries and math puzzles. Andrey Leman (1940–2012), who is now known for his co-authorship of Weisfeiler-Leman algorithm, and contributions to the first Soviet database INES and the first world champion Kaissa in chess, was one of the early members of Kronrod's group who at the time was developing first programs of AI.