HUMANS DEFEAT A.I. IN DEBATE. FOR NOW.

AuthorBailey, Ronald
PositionSCIENCE - Noam Slonim's Project Debater

STAND ASIDE, SIRI and Alexa. An IBM team led by artificial intelligence (A.I.) researcher Noam Slonim has devised a system that does not merely answer questions; it debates the questioners.

In a contest against champion human debaters, Slonim's Project Debater, which speaks with a female voice, impressed the judges. She didn't win, but that could change.

As her developers explain in a March Nature article, Project Debater's computational argumentation technology consists of four main modules. The argument mining module accesses 400 million recent newspaper articles. The argument knowledge base deploys general debating principles. The rebuttal module matches objections to the points made by the other side. The debate construction module filters and chooses the arguments deemed most relevant and persuasive.

Project Debater was paired with three champion human debaters in parliamentary-style public debates, with both sides offering four-minute opening statements, four-minute rebuttals, and two-minute closing statements. Each side got 15 minutes to prepare once the topic was chosen.

In one contest before a live audience, Project Debater went against 2016 World Universities Debating Championship grand finalist Harish Natarajan on the motion that the government should subsidize preschool. The YouTube video and transcript of the debate show Project Debater fluently marshaling an impressive amount of research data in support of that proposition. Natarajan largely counters with principled arguments, calling attention to opportunity costs (paying for this good thing means not paying for that other, perhaps better thing)...

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