An autonomous debating system.
Noam SlonimYonatan BiluCarlos AlzateRoy Bar-HaimBen BoginFrancesca BoninLeshem ChoshenEdo Cohen-KarlikLena DankinLilach EdelsteinLiat Ein-DorRoni Friedman-MelamedAssaf GavronAriel GeraMartin GleizeShai GretzDan GutfreundAlon HalfonDaniel HershcovichRon HooryYufang HouShay HummelMichal JacoviCharles JochimYoav KantorYoav KatzDavid KonopnickiZvi KonsLili KotlermanDalia KriegerDan LahavTamar LaveeRan LevyNaftali LibermanYosi MassAmir MenczelShachar MirkinGuy MoshkowichShila Ofek-KoifmanMatan OrbachElla RabinovichRuty RinottSlava ShechtmanDafna SheinwaldEyal ShnarchIlya ShnaydermanAya SofferArtem SpectorBenjamin SznajderAssaf ToledoOrith Toledo-RonenElad VenezianRanit AharonovPublished in: Nature (2021)
Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually associated with intelligent beings. Argument and debate are fundamental capabilities of human intelligence, essential for a wide range of human activities, and common to all human societies. The development of computational argumentation technologies is therefore an important emerging discipline in AI research1. Here we present Project Debater, an autonomous debating system that can engage in a competitive debate with humans. We provide a complete description of the system's architecture, a thorough and systematic evaluation of its operation across a wide range of debate topics, and a detailed account of the system's performance in its public debut against three expert human debaters. We also highlight the fundamental differences between debating with humans as opposed to challenging humans in game competitions, the latter being the focus of classical 'grand challenges' pursued by the AI research community over the past few decades. We suggest that such challenges lie in the 'comfort zone' of AI, whereas debating with humans lies in a different territory, in which humans still prevail, and for which novel paradigms are required to make substantial progress.