Videos

  • January 5, 2017

    "I think what's missing in the AI conversation is a dose of realism. We have on the one extreme people like Kurzweil, who are fantastically optimistic but don't really have data to back up their wildly optimistic predictions. On the other hand, we have people who are very afraid, like Nick Bostrom, who's a philosopher from Oxford, or Elon Musk, who needs no introduction, and say AI is like summoning the demon, which is really religious imagery. But again, neither party has the data to base their conclusions on; it's wild extrapolations, it's metaphor (like AI is a demon), it's philosophical argumentation. I think we need to have a more measured approach, where we measure AI's performance, where we understand that superhuman success on a narrow task like Go doesn't translate to even human performance level on a broad range of tasks, the kind that people do. I like saying my six-year-old is a lot smarter than AlphaGo—he can cross the street, more or less." Less

  • November 19, 2016 TEDx Seattle

    Artificial Intelligence advocate Oren Etzioni makes a case for the life-saving benefits of AI used wisely to improve our way of life. Acknowledging growing fears about AI’s potential for abuse of power, he asks us to consider how to responsibly balance our desire for greater intelligence and autonomy with the risks inherent in this new and growing technology. Less

  • May 23, 2016

    Oren Etzioni, CEO of the Allen Institute for AI, shares his vision for deploying AI technologies for the common good.

  • KDD 2014

    Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called “Google brain,” and achieved impressive results in vision, speech recognition, and elsewhere. Yet building intelligent systems requires us to go way beyond the capabilities of deep learning and today’s data-mining systems. The future of the Big Data paradigm lies in extending these powerful methods to acquire knowledge from text, databases, diagrams, images and video. We also need to reason tractably using this acquired knowledge to make sense of the world, and to draw novel conclusions. Less

  • 2014 UW CSE Colloquium

    Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called “Google brain,” and achieved impressive results in vision, speech recognition, and elsewhere. Yet building intelligent systems requires us to go way beyond the capabilities of deep learning and today’s data-mining systems. The future of the Big Data paradigm lies in extending these powerful methods to acquire knowledge from text, databases, diagrams, images and video. We also need to reason tractably using this acquired knowledge to make sense of the world, and to draw novel conclusions. Less

  • 2013

    Oren Etzioni discusses Open Information Extraction research at the University of Washington.

  • 2006

    Oren Etzioni discusses the KnowItAll Project at the University of Washington.