Friday, 18 august 2017 | Redacción CEU
The Human Resources professionals increasingly trust on the algorithms to carry out their applicant selection. The information to process is as extensive as overwhelming; this procedure automation to choose candidates sometimes supposes a life jacket so the recruiters do not drown. Meanwhile, the artificial intelligence systems begin to occupy greater responsibility positions like conducting the screening interview to the applicants. Are robots the most suitable 'subjects' to find the talent?
You do not like talking to machines. When you phone a company and a robotic voice answers, you get angry –do not get worried, it happens to all of us–. Whether you like it or not, the automation and the bots use are increasingly integrated in our society. The good news is that these systems are exponentially more intelligent as time goes by, because you have to recognize that what really bothers you about that call is that only an operator is able to understand you. Are you still annoyed? You can always hang up... But if you must talk with a robot for getting a job, the resignation is not as easy.
Who are these interviewers?
Like the Professor Manuel A. Alonso Coto explains in his masterclass e-Recruitment: digital business optimization, the reach of this artificial intelligence has advanced a lot in recent years. He takes the example of the robot Jill Watson which posed as a professor at The Georgia Tech University and obtained incredible results, so much so that her students did not realize during the online course that they were actually talking to a robot. Watson was a teacher who answered questions, gave explanations and raised debates under her digital disguise. Her performance was so good that it was even nominated by some student as the best university teacher.
The success of these artificial intelligence systems lies in the natural language understanding improvement, but if these technologies want to resemble the flesh and bone professionals, they still have to overcome certain obstacles. At least, that is the conclusion drawn from another experiment carried out by the developers of the robot Torobo-Kun which they subjected to the Japan university entrance exam. Although this surpassed the students average, it was not able to obtain place in the Tokyo University –considered the best one of the country–.
According to Noriko Arai, Specialist in Artificial Intelligence and the Project Searcher, all modern artificial intelligence are statistical machines that collect information from the human world through different sources like textbooks, Wikipedia, Facebook or Twitter. Actually, they do not understand anything, they only say the right thing for statistics and select the keywords according to the question clues. Even so, they outperform most students. The challenge of this sector is focused on teaching these systems to germinate their creativity and to reflect and this can only be done through the mathematical language development.