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Roboticists try putting a human face on AI

Image: Sophia and Ava
Hanson Robotics’ Sophia (left) represents the state of the art in “friendly” AI robots, while the AI robot Ava from “Ex Machina” (played by Alicia Vikander, at right) represents a sci-fi vision of where the robotics field could go. (Credit: CNBC / Hanson Robotics / A24 Films)

Can artificially intelligent robots be our friends? Our helpmates? Our companions? Roboticists and AI researchers are trying to make it so – and the first fruits of their labors are about to come onto the market. But there are already hints that the efforts will touch some of humanity’s hot buttons.

Take Hanson Robotics, for example: Its latest creation, Sophia, combines an AI chatbot with an expressive humanlike face. She can talk enthusiastically about helping humans in health care, education and customer service. But she can also go off script.

“Do you want to destroy humans? Please say no,” roboticist David Hanson, the company’s founder, asked Sophia during a CNBC interview at this month’s South By Southwest technology conference in Texas.

“OK, I will destroy humans,” it replied. “No, I take it back!” Hanson said with a laugh.

Closer to home, a Microsoft teen chatbot named Tay was hijacked by mischievous Twitter users and transformed into a foul-mouthed racist, less than 24 hours after it was released onto the Internet. Microsoft had to take Tay offline, delete the offending Tweets and try resetting its AI attitude.

Such problems shouldn’t be surprising to science fiction fans, who have been pummeled by robo-dystopias ranging from the classic 1927 film “Metropolis” to last year’s “Ex Machina.” But despite the challenges, scores of companies around the world are working on robots that are meant to have the smarts and the actuators necessary to interact with humans in everyday environments.

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The human strikes back: AI loses Go game

Image: Lee Sedol
Go champion Lee Sedol meets the press after winning Game 4 in a five-game showdown against the AlphaGo AI program. (Credit: Google DeepMind via @thegoblognet)

Google DeepMind’s AlphaGo AI program may have won the $1 million five-game Go match with three straight wins, but Go champion Lee Sedol struck back with a consolation win today.

“Because I lost three matches, and I was able to get one single win, I think this one win is so valuable I would not trade it for anything in the world,” Lee said during a post-game news conference that was webcast from Seoul, South Korea.

Lee said he was driven on by the “cheers and encouragement” of his fans.

The Korean Go master is part of one of the most closely watched experiments in artificial intelligence since IBM’s Watson computer software took on two human champions in the “Jeopardy” TV quiz show in 2011. The past week’s match has also been compared to the duels between IBM’s Deep Blue computer and chess champion Garry Kasparov in the 1990s.

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AI program wins $1 million prize in Go showdown

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South Korean champion Lee Sedol (upper right) contemplates a move during his game against Google DeepMind’st AlphaGo artificial intelligence program. (Credit: Google DeepMind via YouTube)

Google DeepMind’s AlphaGo artificial intelligence program will take home the $1 million prize after winning the first three games in its Go showdown with South Korean champion Lee Sedol.

“Folks, you saw history made here today,” webcast host Chris Garlock said.

But today’s third win isn’t the end of the historic match in Seoul: The last two games will still be played, with Lee hoping to demonstrate that it’s possible for a human to beat the computer program.

“I think it’s going to be tough going,” match commentator Michael Redmond said during today’s webcast. Lee was never able to achieve an advantage in the third game, which lasted more than four hours. More than 65,000 viewers watched the YouTube webcast at its peak.

After today’s game, DeepMind co-founder Demis Hassabis paid tribute to Lee, and particularly to the “really huge ko fight” that the champion executed during the endgame.

“To be honest, we are a bit stunned and speechless,” Hassabis told reporters. “Lee Sedol put up an incredible fight again.”

Lee apologized for his performance, and said he let the pressure get to him during the third game. “I should have shown a better outcome. … I kind of felt powerless,” he said.

The duel marks a milestone for AI, and for the millennia-old game of Go. Comparisons have been drawn to chess champion Garry Kasparov’s defeat in a 1997 match against IBM’s Deep Blue computer, and the triumph of IBM’s Watson computer over human champions in the “Jeopardy” TV quiz show.

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AI program just gets stronger in Go showdown

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Go champion Lee Sedol, at right, studies the game board during a match against the AlphaGo AI program. Google DeepMind researcher Aja Huang, at left, made AlphaGo’s moves on the board. (Credit: Google DeepMind)

The second game of a million-dollar, man-vs.-machine Go showdown was a real nail-biter, but the outcome was a repeat of the first game: Google DeepMind’s AlphaGo artificial intelligence program vanquished Go champion Lee Sedol.

Today’s game in Seoul, South Korea, lasted almost four and a half hours. The battle went on so long that Sedol ran out of regulation time and eventually was forced to make each of his moves in a minute or less. AlphaGo racked up an unassailable lead in points, and Sedol resigned.

“Yesterday, I was surprised, but today, it’s more than that,” Sedol said afterward at a news conference. “I’m quite speechless.”

Sedol said that during the first game, AlphaGo may have made some questionable moves. In contrast, the program played a “near-perfect game” the second time around, he said.

DeepMind founder Demis Hassabis said AlphaGo’s playing style was more confident than it was the day before. “AlphaGo seemed to know what was happening,” he said.

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Go champion loses to AI program in historic duel

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Go champion Lee Sedol (seated at right) reviews the final moves after surrendering his first game to Google DeepMind’s AlphaGo artificial intelligence program. (Credit: Google DeepMind via YouTube)

Google DeepMind’s AlphaGo artificial intelligence program won the first of five Go games in a milestone million-dollar match against South Korean champion Lee Sedol today – marking another milestone for machine learning.

“I am in shock. … But I am looking forward to tomorrow,” Sedol was quoted as saying afterward.

AlphaGo notched its first victories against a professional Go player in October when it beat European champion Fan Hui, five games out of five. But experts in the centuries-old game thought the AI program would have a harder time with Sedol, who is more highly ranked on the Go circuit.

Sedol ran out of options for the endgame and surrendered after about three and a half hours of play. “A big surprise, I think,” commentator Michael Redmond said during the webcast from Seoul.

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Go players gear up for man-vs.-machine match

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After winning its matches against European Go champion Fan Hui, the A.I. program AlphaGo is taking on South Korea’s Lee Sedol, a legendary figure in the game of Go. (Credit: Google DeepMind)

This month’s human-vs.-machine Go match between South Korean legend Lee Sedol and Google DeepMind’s AlphaGo AI program is a teachable moment – not only for experts in the field of artificial intelligence, but for aficionados of the millennia-old game of Go as well.

The five games in the $1 million challenge will be streamed live online from Seoul, with the first game due to begin at 8 p.m. PT Tuesday.

There’ll be online commentary, but if you’re looking for more of the human touch, show up at the Seattle Go Center, at 700 NE 45th St. in the University District. The center will be streaming each match on a big screen, and if you’re a newbie, you can learn how to play the game while Sedol contemplates his moves.

“This is the ‘John Henry’ moment for the 21st century,” Brian Allen, manager of the Seattle Go Center, told GeekWire in an email. He’s referring to the 19th-century folk tale about a “steel-drivin’ man” who was pitted against a steam-powered hammer.

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Will self-driving cars be good for the planet?

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Volvo’s SARTRE project is aimed at developing fuel-saving approaches to autonomous driving, such as “platooning.” SARTRE stands for “Safe Road Trains for the Environment.” (Credit: Volvo)

Experts expect self-driving cars to make the roads much safer, and driving much more convenient. But what will they do to the environment? A newly published study suggests that, under some scenarios, the shift to autonomous vehicles could double energy use and greenhouse-gas emissions.

The good news is that other scenarios could lead to a nearly 50 percent reduction in those metrics by 2050, which would brighten the picture for coping with climate change. It all depends on how driverless cars are introduced into the marketplace, and how consumers and businesses respond.

“There is lots of hype around self-driving cars, much of it somewhat utopian in nature. But there are likely to be positives and negatives,” University of Washington engineering professor Don MacKenzie said. “By taking a clear-eyed view, we can design and implement policies to maximize the benefits and minimize the downsides of automated vehicles.”

MacKenzie is one of the authors of a study analyzing the range of possibilities, published today in the journal Transportation Research Part A. The survey comes as a plethora of companies, ranging from Ford and Tesla to Google and Apple, are hustling to make vehicles more autonomous and jump through regulatory hoops.

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IBM Watson AI XPRIZE offers $5 million

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IBM’s Watson AI software is best-known for winning at “Jeopardy!” in 2011. (Credit: IBM)

The latest multimillion-dollar tech challenge – known as the IBM Watson AI XPRIZE – will be aimed at encouraging collaboration between humans and artificial intelligence software to solve the world’s big problems. But it’s not yet clear who will sign up for the $5 million competition, in part because IBM’s Watson program is already one of the contestants in a much bigger, multibillion-dollar AI race.

The Feb. 17 announcement, made at the TED2016 conference in Vancouver, B.C., adds artificial intelligence to an XPRIZE list that also spotlights ocean discovery, moon exploration, carbon recycling, medical diagnostic devices, educational software and much, much more.

“Our hope is that the teams will show how we can apply AI to the world’s great challenges,” Stephanie Wander, who’s on the prize development team for California-based XPRIZE, told GeekWire. “That would be the cat’s meow.”

A lot of the details surrounding the competition still have to be worked out. The complete rules and guidelines are to be made available in mid-May, just before IBM’s World of Watson conference. Teams can already pre-register.

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Odds are shifting in man-vs.-machine Go match

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European Go champion Fan Hui holds his head in frustration during a match against Google DeepMind’s AlphaGo program. (Credit: Google via YouTube)

WASHINGTON, D.C. – Both sides in next month’s big $1 million AI-vs.-human Go match say they’re confident they’ll prevail. But Google DeepMind’s AlphaGo program has a secret weapon: It’s expanding its knowledge of the game exponentially during the buildup to the five-game match against top-ranked player Lee Sedol in Seoul, South Korea.

Last month, researchers at Google DeepMind shook up the Go world with news that its artificial intelligence program bested a European champion, Fan Hui, without being given any advantage to start with. The research, published in Nature, lays out a potentially more powerful approach to AI that combines deep learning with reinforcement learning.

Next month’s match against Sedol could be as big for fans of Go (and followers of AI research) as IBM’s Deep Blue victory over chess champion Garry Kasparov was in 1997. The match will be streamed live from Seoul via You Tube from March 9 to 15.

“This really is our Deep Blue moment,” Demis Hassabis, Google DeepMind’s president of engineering, said on Feb. 13 at the American Association for the Advancement of Science’s annual meeting in Washington.

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AI experts say robots could spark unemployment

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Google is testing subcompact self-driving cars. (Photo via Google)

WASHINGTON, D.C. – The robot revolution may put half of us humans out of a job by 2045 – and if that happens, what are the politicians going to do about it?

“This issue of automation and employment, which is going to be one of the biggest policy issues for the next 25 years, if not longer, and now we’re in a presidential election year … this issue is just nowhere on the radar screen,” Rice University computer scientist Moshe Vardi said Feb. 13 at the American Association for the Advancement of Science’s annual meeting in Washington.

Vardi and other experts on artificial intelligence sketched out a scary picture of what the next couple of decades could bring as machines become smarter, more powerful and more prevalent. It’s a picture that’s developing quickly, thanks to the rise of machine vision and machine learning.

Bart Selman, a computer science professor at Cornell University, said he would not have been as concerned about AI’s downside five years ago. Since then, however, engineers have brought about dramatic improvements in the ability of software systems to see, hear and understand their environment.

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