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And finally, two minutes of closing remarks. Then after hearing what the opponent has to say, there’s four minutes of rebuttal. To start, there’s a motion – what are we arguing about here? For example, should pre-schools be subsidised? Next, there’s opening remarks – four minutes of argumentation about why your side is right.
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But before we get into how the system works, it’s worth quickly running through how the debates it participated in were laid out. This week in Nature, Noam and his team are publishing a comprehensive rundown of the technology involved in Project Debater. In the three public debates that we had, we lost one, and we were able to win another one and it was nearly a tie in the third one, and in addition I think it was interesting to note that in all the debates that we had we also asked the audience another question: which side better enriched your knowledge during the debate? And in all of the debates, Project Debater obtained clearly better scores than the human opponent on this question, which was perhaps expected but still nice to see. Despite this challenging environment, Project Debater has done pretty well for herself. Project Debater, who looks a little bit like the monolith from 2001: A Space Odyssey, has been able to face off against top-tier human debaters in front of a live audience, such as the debate I played earlier which took place in California against Harish Natarajan, a world-class debater. Here, winners are tricky to identify, but now IBM have developed such a system by honing a few different AI technologies, such as argument mining and understanding of human language, and getting each of these different AI components to work together all whilst squaring off against an opponent. Things like board games and video games have a clear ‘win’ state that an AI can try hundreds of techniques to achieve. But for the principal investigator of Project Debater from IBM, Noam Slonim, these challenges aren’t tough enough.Īlthough it is clear that all these grand challenges were extremely instrumental to the development of artificial intelligence, these board games still lie in what we refer to as the ‘comfort zone’ of artificial intelligence. On the podcast, we’ve talked about a few different AIs – ones that can play board games, some that can play video games, and AIs like Watson who competed on Jeopardy. In fact, she has successfully debated humans live several times. That right there is the voice of an artificial intelligence called Project Debater, who came up with the statement and the whole debate herself. I have heard you hold the world record in debate competition wins against humans, but I suspect you’ve never debated a machine. I’m Nick Petrić Howe.įirst up on the show, it’s time for a bit of a debate. On this week’s show, the computer that can debate humans. Head here for the Nature Podcast RSS feed. Never miss an episode: Subscribe to the Nature Podcast on Apple Podcasts, Google Podcasts, Spotify or your favourite podcast app.
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Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Science: Giant gravitational wave detectors could hear murmurs from across universe Nature News: Record number of asteroids seen whizzing past Earth in 2020
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This time, the next generation of gravitational wave detectors, and why 2020 was a record-breaking year for near-Earth asteroids. We discuss some highlights from the Nature Briefing. Research Highlight: A breathtaking treasure reveals the power of the woman buried with it 12:56 Briefing Chat Research Highlight: Now that’s using your head: a sea slug’s severed noggin sprouts a new body The sea slugs that can regrow their whole body from their severed head, and evidence of high status women in ancient Europe. News and Views: Argument technology for debating with humans 10:30 Research Highlights And this week, researchers at IBM are publishing details of an artificial intelligence that is capable of debating with humans. Despite this, researchers have been developing computer programs that can find and process arguments. After thousands of years of human practise, it’s still not clear what makes a good argument.