An agile process, but that still can not compete with humansEven though Miss Debater - formerly known as Project Debater - acts nimbly in the first stage of the debate, there are some factors that still need to be improved in order to defeat a human being. IBM explains that, in a debate, the machine has to argue about a subject on which it has never been trained. Once a brief sentence describing the motion is given, Miss Project searches its database of 10 million sentences to make an argument, and although it can be quick looking for information, selecting the message is a much more complex task. IBM and Natarajan agree that debates can be more complicated for artificial intelligence since there is a large emotional component and understanding of human language that is at stake. In a publication on his LinkedIn, Natarajan said that a successful debate is composed of three elements. The first has to do with the search for information for the elaboration of an argument, second, there must be a clear and structured explanation, and, finally, that message must be voiced in a way that clicks with the audience.
This requires the careful use of language, emotions, rhetoric, and examples. While one machine can excel in the first, the last two could be challenging. - NatarajanFor its part, IBM says that the entire process requires a deep understanding of human language which is not always easy for humans and "certainly quite difficult for computers. "For IBM, conquering the use of human language is one of the most ambitious goals of artificial intelligence" and that there is still a way to go.
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30 May 2020, 2:30 AM (GMT)