Robo-doctors? How AI could do jobs we once thought couldn't be automated
2019-01-07 from cbc.ca
A renaissance in artificial intelligence research has been driven by reimagining obstacles as "prediction problems," according to a professor and author.
"We never thought of driving as a prediction problem," said Ajay Agrawal, co-author of Prediction Machines: The Simple Economics of Artificial Intelligence.
"But we've now developed autonomous vehicles using prediction — effectively predicting how a human would react under a certain set of driving conditions," he told The Current's guest host Geoff Turner.
That shift has allowed artificial intelligence to gain a foothold in professional fields such as medicine and law, he added, which were previously "viewed as white-collar professionals who were doing things that couldn't be automated."
"We are starting to automate them because we can reformulate the thing they're doing as a production problem."
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