Machine learning is far from replacing the humans in jobs: Study

Machine learning is far from replacing the humans in jobs: Study

According to the recent study, machine learning computer systems which get better with experience have the capacity to outperform the humans in several tasks but they are unlikely to replace them in all jobs. Researchers from prestigious universities have found 21 different criteria to evaluate if the given task is amenable to machine learning (ML).“Although the economic effects of ML are relatively limited today, and we are not facing the imminent ‘end of workʼ as is sometimes proclaimed, the implications for the economy and the workforce going forward are profound. The skills people choose to develop and the investments businesses make will determine who thrives and who falters once ML is ingrained in everyday life,” researcher argued.Can ML affect your profession?As of now, given the advancements in the ML it is really hard to predict how ML will affect a particular job because it tends to automate or semi-automate the task. Jobs in real life involve multiple tasks only some of which can be exposed to ML.Earlier this year, it was shown that ML program is better at detecting skin cancer in humans than dermatologists but it doesn't mean that ML will replace the dermatologists which are better at doing other jobs.“I think what's going to happen to dermatologists is they will become better dermatologists and will have more time to spend with patients. People whose jobs involve human-to-human interaction are going to be more valuable because they can't be automated,” said Tom Mitchell from Carnegie Mellon University.

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