Miguel Afonso Caetano"American journalism has long operated under the presumption that the stories it produces should be “neutral”. Now, at the LA Times, CEO Patrick Soon-Shiong thinks he can enforce this neutrality by running an AI-based “bias meter” over the paper’s stories. If you remember, in the late stages of the US presidential election, Soon-Shiong blocked the paper from endorsing Kamala Harris. Reports say that the bias meter, due out next month, is meant to identify any bias the story’s source has and then deliver “both sides” of that story.
This is absurd. Few news stories have just two competing sides. A biased source can’t be countered by rewriting the story unless you include more sources and points of view, which means additional research. Most important, AI can’t think.
But readers can. And so what this story says is that Soon-Shiung doesn’t trust either the journalists who work for him or the paper’s readers to draw the conclusions he wants. If he knew more about journalism, he’d know that readers generally don’t adopt opinions just because someone tells them to. The far greater power, I recall reading years ago, lies in determining what readers *think about* by deciding what topics are important enough to cover. There’s bias there, too, but Soon-Shiong’s meter won’t show it."
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