Mr. Khosla asserted that machines can complete tasks more effectively than humans, in part because human error arises from a range of shortcomings, spanning biases to limited knowledge. “It’s a slow realization that machines do things better than humans,” he said in the Wall Street Journal.
At present, Mr. Khosla said that organizations are too focused on only collecting data for humans to analyze, which leads to limited outcomes. Although human beings might be unable to analyze intricate large-scale datasets, Mr. Khosla recommends analysts continue to collect this information, which can be analyzed by artificial intelligence-driven processes.
“One of the things as a society we have to get past, is that we are producing data only humans can use,” he told the Wall Street Journal. “If I produce intricate data, that a human couldn’t interpret, we don’t (use) it clinically. But we should.”
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