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10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
http://www.forbes.com/sites/jlim/2016/10/12/whatleadingaimachinelearningandroboticsscientistssayaboutthefuture/#6b450e756b37 1/12
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Jason Lim , CONTRIBUTOR
I cover tech and startups that work between the U.S. and ChinaFULL BIO
Opinions expressed by Forbes Contributors are their own.
What Leading AI,Machine Learning AndRobotics Scientists SayAbout The Future
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10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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Opinions expressed by Forbes Contributors are their own.
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
http://www.forbes.com/sites/jlim/2016/10/12/whatleadingaimachinelearningandroboticsscientistssayaboutthefuture/#6b450e756b37 3/12
The Fujitsu Ltd. RoBoPin communication robot at the Combined Exhibition of Advanced Technologies in Japanon Oct. 4, 2016. (Photographer: Tomohiro Ohsumi/Bloomberg)
Every year there is a new hot topic in tech. Today, it’s allabout artificial intelligence, machine learning, virtualreality and autonomous vehicles. The difference betweennow and the past is that everything is becominginterconnected at a faster rate.
We are entering an extremely critical time in historywhere society will change dramatically – how we work,live and play. Science fiction is morphing into reality.Flying cars exist, cars that drive themselves are on the
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
http://www.forbes.com/sites/jlim/2016/10/12/whatleadingaimachinelearningandroboticsscientistssayaboutthefuture/#6b450e756b37 4/12
road, and artificial intelligence that automates our livesis here.
To make all of this amazing science and technologyhappen, it takes some extremely intelligent and curiouspeople. In many ways, scientists are still at the helm ofdiscovering breakthroughs through research.Increasingly, tech companies are accelerating innovationby applying it to the real world by leveraging their dataand distribution networks. For such innovativecompanies and pioneering startups to exist, investorsprovide the necessary capital.
Leading scientists meet at GSummit
It is unusual for these different yet linked groups to cometogether, even in Silicon Valley. But in a rare event, someof the world’s leading scientists, tech execs and investorsconvened in San Francisco at the first GSummit,organized by the GWC, an organization from China thatconnects tech innovators around the world. FromSeptember 2728, the exclusive group sharedbreakthrough research and discussed both good andchallenging implications.
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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Beyond bringing a multifaceted group of peopletogether, what made GSummit extra special was itsfocus on making it interdisciplinary. The diversity ofleading experts from the fields of AI, computer vision,robotics, neurology and materials science amplifiedlearning and sparked interesting conversations. Leadersfrom Stanford, MIT, Carnegie Mellon, Facebook, Google,Pinterest, Alibaba and many more were all in the sameroom.
Now is our opportunity to make choices about AI
Although there were many fascinating topics explored atGSummit, I will highlight AI and machine learning.
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Will the future of intelligent machines and robots bemore Terminator or more like Baymax from Big Hero 6?Will they help or hurt us? This question has been at theheart of scifi films for generations. But now we willreally have to deal with them and find out. Recently afatal Tesla Model S selfdriving car crash brought to lightthe risks of fully trusting technology. In a Senate inquiry,Tesla said the automatic braking system was faulty.Another Tesla Model S autopilot crash case has beentaken to court in China and is still under investigation.
KaiFu Lee, chairman and CEO of Innovation Worksdelivered the opening keynote of GSummit. Lee speakswith authority as a pioneer in speechrecognition. Hedeveloped the world’s first speakerindependent,continuous speech recognition system and laterestablished Google China. ”The future of jobs will changeand reinvent every imaginable part of work (from AI),”said Lee. This is a statement we all comprehend at abasic level but is hard for many of us to grapple with at adeep level. Ultimately he means that artificialintelligence will augment humans and make our liveseasier, no matter what industry we’re in. For example,robotraders make financial trades smarter and faster
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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than humans, robots save lives by replacing humans inlifethreatening rescue operations and in an ironic way,they even take over some of the work of the people thatmade them – engineers.
KaiFu Lee, Chairman & CEO, Innovation Works
He also made an insightful comment saying, “Traditionaldata from hospitals and banks provides a rich source ofdata to mine.” This point is important becausetechnology has the biggest opportunity to impact some ofthe least techsavvy industries. Machine learning and
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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natural language processing algorithms feed off data andthat is what hospitals and banks have a lot of.
But what about the legitimate concern for many that AIwill displace people’s jobs en masse? It’s not just the lowskilled labor people that are worried. Highlyeducatedprofessionals are also at risk. In a conversation with FeiFei Li, director of Stanford AI Lab, she’s more optimistic.“I’m flattered about how much confidence people have inAI, but there is really a long way to go. We’re at thehistorical moment where we still have a choice to eitherreplace or augment humans. I believe they shouldaugment. AI has to have cognition in context andknowledge. It’s not just about playing GO.”
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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FeiFei Li, Director of Stanford AI Lab, Stanford University
So there is a choice. It’s not that AI and robots can’treplace things, but a matter of what and how much theyshould replace. It’s also an ethical question. Butaccording to Li, for machines to really take over, theyneed a high degree of critical thinking and some kind ofconscience.
During the conference, an ethical question arose aroundwhat should a selfdriving car do if it had to make a splitsecond decision to either hit an old woman or a child (ifit had to hit one to save the other). Think about all the
10/14/2016 What Leading AI, Machine Learning And Robotics Scientists Say About The Future
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SEE ALSO
1. MACHINE LEARNINGTUTORIAL
2. ARTIFICIAL INTELLIGENCETECHNOLOGY
3. MACHINE LEARNINGPROJECTS
4. MACHINE LEARNINGTECHNIQUES
5. LEARNING MANAGEMENTSYSTEM COMPARISON
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tradeoffs the car has to compute in that moment. Is theperson inside the car responsible or the car operator orthe maker? How will selfdriving cars affect carinsurance?
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