playlist

Artificial intelligence

Computers are being taught to learn, reason and recognize emotions. In these talks, look for insights — as well as warnings.

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  1. 14:27
    Sam Harris Can we build AI without losing control over it?

    Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We're going to build superhuman machines, says Harris, but we haven't yet grappled with the problems associated with creating something that may treat us the way we treat ants.

  2. 9:52
    Ray Kurzweil Get ready for hybrid thinking

    Two hundred million years ago, our mammal ancestors developed a new brain feature: the neocortex. This stamp-sized piece of tissue (wrapped around a brain the size of a walnut) is the key to what humanity has become. Now, futurist Ray Kurzweil suggests, we should get ready for the next big leap in brain power, as we tap into the computing power in the cloud.

  3. 17:42
    Zeynep Tufekci Machine intelligence makes human morals more important

    Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns — and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."

  4. 19:45
    Jeremy Howard The wonderful and terrifying implications of computers that can learn

    What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of "cats.") Get caught up on a field that will change the way the computers around you behave ... sooner than you probably think.

  5. 17:58
    Fei-Fei Li How we're teaching computers to understand pictures

    When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too. What's next? In a thrilling talk, computer vision expert Fei-Fei Li describes the state of the art — including the database of 15 million photos her team built to "teach" a computer to understand pictures — and the key insights yet to come.

  6. 16:31
    Nick Bostrom What happens when our computers get smarter than we are?

    Artificial intelligence is getting smarter by leaps and bounds — within this century, research suggests, a computer AI could be as "smart" as a human being. And then, says Nick Bostrom, it will overtake us: "Machine intelligence is the last invention that humanity will ever need to make." A philosopher and technologist, Bostrom asks us to think hard about the world we're building right now, driven by thinking machines. Will our smart machines help to preserve humanity and our values — or will they have values of their own?

  7. 11:04
    Rana el Kaliouby This app knows how you feel — from the look on your face

    Our emotions influence every aspect of our lives — how we learn, how we communicate, how we make decisions. Yet they’re absent from our digital lives; the devices and apps we interact with have no way of knowing how we feel. Scientist Rana el Kaliouby aims to change that. She demos a powerful new technology that reads your facial expressions and matches them to corresponding emotions. This “emotion engine” has big implications, she says, and could change not just how we interact with machines — but with each other.

  8. 17:52
    Ken Jennings Watson, Jeopardy and me, the obsolete know-it-all

    Trivia whiz Ken Jennings has made a career as a keeper of facts; he holds the longest winning streak in history on the US quiz show Jeopardy. But in 2011, he played a challenge match against IBM's supercomputer Watson — and lost. With humor and humility, Jennings tells us how it felt to have a computer literally beat him at his own game, and makes the case for good old-fashioned human knowledge.

  9. 15:20
    Garry Kasparov Don't fear intelligent machines. Work with them

    We must face our fears if we want to get the most out of technology — and we must conquer those fears if we want to get the best out of humanity, says Garry Kasparov. One of the greatest chess players in history, Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. Now he shares his vision for a future where intelligent machines help us turn our grandest dreams into reality.