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Why you may be looking at AI all wrong

It’s getting pretty hard to escape (“”). Not just the impact that will have on your life — more the idea of . In the business and technology press, a single day does not pass without some reference to the impact that is having — or will have — on, well, everything.

copyright by www.cio.com

Nearly every story is ominous. Either it’s a story about how is going to bring about the destruction of the human race or, only slightly less foreboding, the destruction of an entire industry or class of jobs. Call it morbid fascination, but the cataclysmic potential of seems to mesmerize us. All of these dire warnings and predictions may drive click-throughs, but most of the articles about are completely missing the point — mostly because they’re focusing on the wrong ‘.’

Separating myth from reality

While the long-term concerns about may be warranted on a societal level, almost no one believes that the threat is imminent in business terms. Moreover, while -powered technology is improving in power and capability at a rapid rate, we remain a long way from what many people think of when it comes to the type of displayed in movies or presented in the press. To be sure, rapid advancements in autonomous vehicles and virtual assistants (think Amazon’s and Apple’s Siri) have led many to believe that we are just moments from taking over the world. The reality, however, is much more complex.

Everything that we consider today falls into the realm of what is called Artificial Narrow Intelligence (ANI), which is focused in a single area. While ANI is continuing to become more expansive in its applications, the ability to fully replace human activity, to any significant degree, will not occur until scientists figure out how to create what is called Artificial General Intelligence (AGI), in which a computer possess the intelligence of a human in virtually all ways. […]

  1. SwissCognitive

    Why you may be looking at AI all wrong

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  2. Arima

    RT @SwissCognitive: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/9BKc9z…

  3. Dalith Steiger

    Why you may be looking at AI all wrong

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  4. florian semle

    RT @DalithSteiger: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/nmwnCIY…

  5. (Dymaxion CarHouse)

    RT @DalithSteiger: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/nmwnCIY…

  6. Andy Fitze

    Why you may be looking at AI all wrong

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    https://t.co/H21T1uXYhs

  7. Sam [Deep Learning]

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  8. Mobility

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  9. Andy Pardoe

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  10. Arima

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  11. damien ALEXANDRE🌎↗️

    RT @andy_fitze: Why you may be looking at AI all wrong

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    https://t.co/H21T1uXYhs

  12. Spiros Margaris

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  13. HAYDN R. SNAPE

    #LI RT andy_fitze: Why you may be looking at AI all wrong

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  14. Prof. Manish Thakur

    RT @andy_fitze: Why you may be looking at AI all wrong

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    #Artificial_Intelligence #Autonomous_Car #Chatbot
    https://t.co/H21T1uXYhs

  15. Dan Schaefler 🗯 🦄

    @SwissCognitive Why you may be looking at #AI all wrong

    https://t.co/Fv7pIPRh9R
    #DigitalTransformation

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