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Machine learning (ML) systems, an element of what is known as Artificial Intelligence (AI), can outperform people in a number of tasks though they are unlikely to replace people in all jobs, say researchers. In a "Policy Forum" commentary published in the journal Science, Tom Mitchell of Carnegie Mellon University and Erik Brynjolfsson of Massachusetts Institute of Technology (MIT) -- both in the US -- said that tasks that are amenable to ML include those for which a lot of data is available. ML can be a game changer for tasks that already are online, such as scheduling, but its is not a good option if the user needs a detailed explanation for how a decision was made, according to the authors. The researchers explained that machine learning tends to automate or semi-automate individual tasks, but jobs often involve multiple tasks, only some of which are amenable to ML approaches. Jobs that do not require dexterity, physical skills or mobility also are more suitable for ML, the researchers said.