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d4 ot The machines already beat us, now they also convince us - The Times Hub

The machines already beat us, now they also convince us

The machines already beat us, now they also convince us

Imagine that in the next Madrid electoral debate a new unknown candidate appeared who convinced most of the audience. And that this dialectical review was not given by a person, but by a computer. It is the territory in which the latest milestone of artificial intelligence moves, that of the complexity of human debate and oratory. The IBM company presents in the most prestigious scientific journal, Nature , an achievement in which they have worked for almost a decade: a machine capable of convincing with arguments. The scientific team argues that it is a huge quantum leap from the brilliant victories that silicon brains have scored against humans in fields such as chess , Go and the more sophisticated video games.

This machine with a female voice, called Project Debater, he is able to study a controversial issue, such as the legalization of drugs or subsidies to early childhood education, to make an articulated speech that defends a position for or against. Not only that: in the dynamics of the debates that he has already had with experts in public speaking, he has also shown himself capable of refuting the arguments of his opponent. The result: 64% of the specialists who served on the jury considered that the machine demonstrated a good performance as a convincing speaker in the debate.

We have to get away from games, from the challenges of black and white. Artificial intelligence will deal with the subjectivity of human reality Ranit Aharonov, IBM

The machine makes peculiar mistakes from the human perspective. For example, when defending the use of artificial insemination, Project Debater included arguments that made reference to the insemination of cattle, "something that may sound strange in this debate," acknowledges the scientific team in Nature . This happens because of the way in which the IBM computer constructs its argumentation, based on four work modules: "These errors of a complex nature illustrate the need for a nuanced and general understanding of the context," the researchers point out in the study.

The first two steps the machine takes focus on gathering content and arguments. As soon as the topic of the discussion is established, the program extracts arguments from a large database with 400 million newspaper articles, which are structured thanks to the concepts cataloged by Wikipedia. Later, the machine finds similarities between general reasonings of different debates; For example, discussing the prohibition of substances or activities raises the possible appearance of a black market.

Documentary on Project Debater produced by IBM.

In addition, in the same process of analyzing an issue, Project Debater begins to collect possible counter-arguments to the foreseeable reasoning that its adversary will use. He also uses key terms that appeal to feelings, such as "harmful," that could be used to reinforce his speech. Finally, the machine is capable of spinning an argument that avoids redundancies and that has a form of argument that is convincing, not a simple concatenation of sentences and data. Those speeches are the ones that the judges evaluated to conclude that it hits the mark.

Although they are not mentioned in the study, this robot in the shape of an elongated TV also uses very human rhetorical resources. For example, he seemed to attack his human rival's self-esteem by dismissing his arguments as naive, old-fashioned, or romantic. In another, he reported aloud the number of words his opponent was saying per minute and caused hilarity from the crowd when he blurted out, “Don't rush, we have plenty of time. Please slow down and present your arguments calmly. " Its programmers assure that they do not write any phrase, except the opening sentence of greeting in each event.

The company was looking for a new challenge after its two previous great successes: when Deep Blue deciphered the mechanisms of chess to beat Garry Kasparov and when Watson he deconstructed natural language to win the popular Jeopardy TV game show. But the challenge was remarkable, as Ranit Aharonov, project manager, explains in an IBM documentary about his machine: “Unlike in games, in real-world problems you don't have a clear victorious end result. We have to get away from games, from the challenges of black and white. Artificial intelligence is now going to deal with the subjectivity of human reality ”, explained Aharonov, who signed the study with his team.

IBM already sells its project to "make better decisions" in the business, legal and medical fields, but even talks about the "future of democracy"

His team assures that he has taken artificial intelligence out of the "comfort zone", that of the simple rules of the games. In that arena, machines can always optimize their performance with an eye toward victory, using shortcuts and reinforcing only efficient victory strategies, something that is useless in a subjective context such as argumentation. In this case, furthermore, the steps to follow are not defined in advance: a pawn moves across the board in a straight line and eats diagonally, but what is a good argument? It remains to be seen if this computer development will give clues that turn human reasoning around like a sock, as happened with chess and Go when artificial intelligence landed on their boards.

At the moment, IBM already sells its project for " make better decisions in times of fake news and echo chambers ”, such as strategic business solutions, the construction of legal arguments and the analysis between possible medical treatments. But he dares to go much further, and even talks about the "future of democracy." In the Swiss city of Lugano it was used to "understand" what its citizens think about autonomous driverless cars. There the machine was only fed with the thousand opinions left by the locals. An experience that illustrates the doubts generated by how artificial intelligences decide, with what biases and what interests , based on the information provided and, for example, when determining which citizens are involved in the conversation.

“Artificial intelligence does not you will be able to make morally correct decisions because morality is unique to humans, "said the" soft female voice "of Project Debater at the University of Cambridge , in a debate on that matter. An argument that could calm those who fear the consequences of its development, until later he added a statement that could be understood as contradictory: "Artificial intelligence has a lower error rate than humans."

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