What happens when the robots take our jobs?

To lose our jobs to our future supreme AI overlords ... or to not? That's the question (and we have some surprising answers).

  1. 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?

  2. 4:36
    Anthony Goldbloom The jobs we'll lose to machines — and the ones we won't

    Machine learning isn't just for simple tasks like assessing credit risk and sorting mail anymore — today, it's capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future?

  3. 14:37
    Martin Ford How we'll earn money in a future without jobs

    Machines that can think, learn and adapt are coming — and that could mean that we humans will end up with significant unemployment. What should we do about it? In a straightforward talk about a controversial idea, futurist Martin Ford makes the case for separating income from traditional work and instituting a universal basic income.

  4. 13:37
    Noriko Arai Can a robot pass a university entrance exam?

    Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo — without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises alarming questions for the future of human education. How can we help kids excel at the things that humans will always do better than AI?

  5. 13:44
    Kevin Kelly How AI can bring on a second Industrial Revolution

    "The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable," says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. "The most popular AI product 20 years from now that everyone uses has not been invented yet," Kelly says. "That means that you're not late."

  6. 15:47
    Daniel Susskind 3 myths about the future of work (and why they're not true)

    "Will machines replace humans?" This question is on the mind of anyone with a job to lose. Daniel Susskind confronts this question and three misconceptions we have about our automated future, suggesting we ask something else: How will we distribute wealth in a world when there will be less — or even no — work?

  7. 9:56
    Margaret Mitchell How we can build AI to help humans, not hurt us

    As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI — and asks us to consider what the technology we create today will mean for tomorrow. "All that we see now is a snapshot in the evolution of artificial intelligence," Mitchell says. "If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now."

  8. 14:15
    Andrew McAfee What will future jobs look like?

    Economist Andrew McAfee suggests that, yes, probably, droids will take our jobs — or at least the kinds of jobs we know now. In this far-seeing talk, he thinks through what future jobs might look like, and how to educate coming generations to hold them.

  9. 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.