The researchers also found that the AI’s group
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The researchers also found that the AI’s group status—in this case, national origin was pointed out—did not seem to affect a person’s acceptance of its recommendation. Among human experts, however, an expert from a similar national origin who offered a negative opinion of a photograph tended to be more influential than a human expert from an unknown country who offered a similar negative rating of a photograph.
While findings that suggest group status may not affect whether a person values the view of AI experts sound like good news, Sundar suggests that the same cultural prejudice might still be at work in AI experts for they could be hidden in the programming and training data.
“It can be both good—and bad—because it all depends on what you feed the AI,” said Sundar. “While it is good to believe in AI’s ability to transcend（超越）cultural prejudice, we have to keep in mind that if you train the AI on pictures from one culture, they could give misleading recommendations on pictures meant for use in other cultural contexts.”
