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Tool Could Predict How at Risk Your Job is From Automation

The resilience index was tested on data from the U.S. workforce in 2018, and researchers found that it could successfully reallocate workers into different roles that would boost job resiliency and decrease automation risk.


Scientists at the Swiss Federal Institute of Technology in Lausanne (EPFL) and the University of Lausanne in Switzerland have designed an algorithm to predict how at risk specific occupations are from automation.

The automation risk index (ARI) reviews how many requirements in a job description can be performed by a robot compared to a human, ranks the importance of these skills, and evaluates robots' currently abilities to perform them.

In the ARI's ranking of 967 jobs listed in the Occupation Information Network database, physicists were determined to be the profession safest from automation, while meatpackers and slaughterhouse workers were found to be at greatest risk.

The researchers also established a publicly available resilience index that users can search to find automation risks associated with job titles, as well as jobs with lower risks.

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