Robotics is developing faster, more than half of Brazil's jobs are threatened

Abstract According to South China Press news report, the University of Brasilia machine learning Laboratory (UnB) financial and organizational recently completed a study report shows that Brazil has the possibility of being replaced by a robot or computer program exists for 54% of formal jobs . According to reports, the laboratory is against...

According to a report by the South American Overseas Chinese News Network, a research report recently completed by the Machine Learning Laboratory of the University of Brasilia (UnB) in the field of finance and organization shows that 54% of formal jobs in Brazil are replaced by robots or computer programs.

According to reports, the laboratory conducted an assessment of the existing 2,602 official jobs in Brazil. According to the results of the study, if all Brazilian companies use robots in alternative labor positions, then by 2026 the labor market will reduce 30,000 official jobs. This kind of forecast only considers the development trend of the most likely replacement position.

The laboratory analyzed the annual Social Information Report (RAIS) issued by the National Labor Department and found that as of the end of 2017, 57.37% of workers with formal jobs (about 25 million people) were highly likely to be replaced by robots (alternative 80) More than %) or higher (alternative 60% to 80%) work, such as warehouse loaders (77%), volleyball referees (71%).

In order to calculate the probability that a job was replaced by a robot in 10 years, the laboratory consulted 69 experts and scholars in machine learning in the field of artificial intelligence. Based on the results of the experts' evaluation, the researchers analyzed the descriptions of various positions and finally obtained the calculation results.

Professor of the University of Brasilia said that the study only completed the first step, and the current forecast data needs further research. He pointed out that the automatic replacement of jobs does not mean the end of the artificial era, there are still many restrictions on the use of robots instead of labor.

First, machine learning requires the support of large amounts of data, and few companies in developing countries have access to large databases. Secondly, for some low-skilled jobs, labor costs are much lower than those of purchasing robots, which is more in line with the interests of enterprises.

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