Is Automation Destroying Jobs? Will managers be replaced by algorithms? How to recruit with artificial intelligence without discriminating? The way in which “learning machines”, capable of processing huge amounts of data, are gradually replacing human analysis in companies, raises questions ” vertiginous “, according to Elisabeth Borne.
The Minister of Labor returned to the still poorly measured consequences of automation in the world of work to announce, Friday, November 19, the launch of “LaborIA”, a laboratory intended to measure the impact of artificial intelligence on the labor market. employment and working conditions. According to the OECD, 32% of jobs will be profoundly transformed by automation.
The Ministry of Labor has joined forces with the National Institute for Research in Digital Sciences and Technologies (Inria) to develop this research program so as not to be caught off guard by what is heralded as the next industrial revolution. . Scheduled for five years, the project is led by the Matrice Institute, an incubator and a training center around new technologies.
Several speakers invited to speak on the project reviewed the many upheavals introduced by the growing use of data in the world of work. Pierre de Sahb, co-founder of the data processing company UNiFAi, recalled that artificial intelligence was also a creator of jobs: “ We automate 90% of the job for the people who are there, but with a growth rate [des données] such as we support job creation. “
Recalling the need to make workers aware of the use of algorithms, Salima Benhamou, economist at France Stratégie, underlined that the employee “ needs to understand how data is developed and how it fits into the process; otherwise, the data is useless “. The government has set a goal of training at least 3,700 student AI specialists by 2025.
Beyond the impact on labor needs, several speakers returned to the use of algorithms in recruitment. Taking the example of experimentation ” the right box “Conducted by Pôle emploi, which relies on an exclusive algorithm to detect companies that will probably hire over the next six months, economist Dominique Meurs recalled that the algorithms used wisely were effective tools to fight against unemployment : ” This experiment showed that it worked, in particular for the most disadvantaged categories. “
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