4.5 • 2.1K Ratings
🗓️ 15 February 2019
⏱️ 51 minutes
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0:00.0 | Hi everybody, I'm John Don Van and in this episode of Intelligent Squared US we're doing |
0:04.8 | something a little bit different. Usually we put four people on a stage, two teams of |
0:09.3 | two, who argue out one sharply framed resolution. Our debaters are experts in their topics and |
0:15.5 | have spent years, if not decades, thinking and researching and writing about them. But |
0:19.9 | not this time. For this debate we have partnered with IBM to host a first of its kind debate |
0:25.7 | between a human and a machine. That's right, one of our debaters here is IBM's project debater, |
0:32.4 | the first artificial intelligence system designed to engage meaningfully with humans in debate. |
0:38.4 | This project started in 2012 in IBM's research lab in Haifa, Israel and now in San Francisco it's |
0:44.5 | becoming the first ever non-human intelligence-squared US debater. In this debate project debater takes |
0:49.8 | on a world-class human debater, Harish Natharajan. We didn't tell either debater the topic or the |
0:56.7 | emotion before the debate. They both had just a few minutes to prepare. Let's see how it works. |
1:02.9 | And now please welcome Director of IBM Research, Darian Piole. |
1:08.8 | This past June, a few blogs from where I'm standing right now, IBM unveiled project debater. |
1:15.2 | An AI system that is capable of engaging with humans in a life debate. It was widely reported at the |
1:21.8 | time that the system really held its own against two Israeli debate champions. But for us, it really |
1:30.4 | is not about winning or losing, but really about the ability to create AI that can master the |
1:36.8 | infinitely complex and rich world of human language. I like games. Language can really tell us more |
1:44.8 | about human thought and expression. And is this world that is most interesting to us at IBM |
1:51.0 | Research? We believe there is great potential in having artificial intelligence that can understand |
1:57.2 | us, the more transparent and explainable that we can make AI, the more we can trust it. And the more |
2:03.6 | we can trust it, the more we can rely on it to help us make better decisions. At IBM Research, |
2:09.7 | we have a long history of creating technology and capability that can amplify and complement |
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