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How can humans stay ahead of an ever growing machine intelligence? \u201cI think the challenge for us\u00a0is to always be creative,\u201d says\u00a0former world chess champion Garry Kasparov, speaking on stage here at TechCrunch Disrupt New York.<\/p>\n
It\u2019s twenty years since Kasparov lost to Deep Blue<\/a>, IBM\u2019s supercomputer. The 1997 AI stress test equivalent of DeepMind\u2019s AlphaGo beating Lee Sedol last year<\/a>.<\/p>\n \u201cI would remind people that I won the first match,\u201d quipped Kasparov when the historic defeat was brought up.<\/p>\n \u201cThere are certain things that we can do that machines are not at all going to be able to replicate,\u201d he said. \u201cIt\u2019s things like love, emotions, passions\u2026 One of the rules is anything that we know how we do machines can do it. But there\u2019s so many things that we do that we don\u2019t know how we do \u2014 and that\u2019s where we humans can excel.\u201d<\/p>\n \u201cMachines don\u2019t have understanding, machines don\u2019t recognize strategic patterns, and machines don\u2019t have a purpose,\u201d he added, arguing for a blend of what humans and machines do best \u2014 and\u00a0finding \u201ca way to bring together these complementary skills\u201d.<\/p>\n The new generation of self-learning AIs \u2014 being built by the likes of\u00a0DeepMind \u2014 also\u00a0presents another challenge\u00a0for humans, in that it is much harder to understand the\u00a0decisions of these algorithms, said Kasparov, flagging this as \u201cone of the biggest challenges\u201d for applying this type of tech.<\/p>\n \u201cYou cannot identify why iteration five is better than iteration 10,\u201d he said. \u201cWith Deep Blue if you have a couple of years to spare\u2026 you can find out why a certain move was there. With AlphaGo the problem is you can only guess. And I think that\u2019s one of the biggest challenges with the new generation of AI.\u201d<\/p>\n While\u00a0he was\u00a0generally upbeat about the combined possibilities of humans and machines \u2014 touching on his Advanced Chess<\/a>\u00a0concept, for example, in which machines and humans play together as a team \u2014 he also warned over some of the\u00a0societal threats here.<\/p>\n Machines have been constantly replacing all sorts of jobs\u2026 We should not talk about jobs being lost but people suffering.<\/p>\n<\/blockquote>\n<\/div>\n Technology is\u00a0\u201ca double-edged weapon\u201d, he said, pointing to regimes like Putin\u2019s in Russia appropriating tech\u00a0tools to try to \u201cundermine the very foundations of the free world and to topple dissent in their own countries\u201d.<\/p>\n \u201cWe should realize the dangers of Internet and free space being polluted by fake news and the misinformation run by the [rogue] states \u2014 mainly of course Putin\u2019s regime that is so sophisticated,\u201d he said, adding: \u201cPutin doesn\u2019t care who he supports outside Russia\u00a0to spread chaos and to create more uncertainty and to undermine democracy\u00a0as an institution and even as a concept.\u201d<\/p>\n He also discussed the\u00a0threat that increasingly capable AI poses to (human) jobs, arguing that we should not try to predict what will happen in the future but rather look at\u00a0immediate problems.<\/p>\n \u201cWe make predictions and most are\u00a0wrong because we\u2019re trying to base it\u00a0on our past experience,\u201d he argued. \u201cI think the problem is not that AI is exceeding our level. It\u2019s another cycle. Machines have been constantly replacing all sorts of jobs\u2026 We should not talk about jobs being lost but people suffering.<\/p>\n \u201cWe have to look for new opportunities. In my opinion the biggest challenge is not that the jobs are being lost, but the challenge is that they are not being lost fast enough. Because unless you have a cycle moving fast you will not be able to create new sustainable jobs. You will have\u00a0to create a new growth that will help to\u00a0replace jobs that are being lost.\u201d<\/p>\n \u201cAI is just another challenge. The difference is that now intelligence machines are coming after people with a college degree or with social media and\u00a0Twitter accounts,\u201d he added.<\/p>\n","protected":false},"excerpt":{"rendered":"\n\n
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How can humans stay ahead of an ever growing machine intelligence? “I think the challenge for us is to always be creative,” says former world chess champion Garry Kasparov, speaking on stage here at TechCrunch Disrupt New York. Read More<\/a><\/p>\n\n<\/img><\/a>
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