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哈佛调查:男性更常假装懂AI

AI 总结

哈佛肯尼迪学院肖伦斯坦中心发布的一项针对5400多名美国成年人的调查显示,73%的男性受访者称自己认识OpenAI CEO Sam Altman,53%称认识Mira Murati、Susan Milner和Craig Dalton——其中Milner与Dalton实为虚构人物;女性中称认识Murati的比例为38%,称认识另外两人的为40%。调查发现男性使用AI更频繁、正确回答AI事实题的比例略高,但两性答错率相近,差别在于女性更多回答“不确定”(12题中平均3.3题,男性为2.3题)。研究者还发现,一年媒体报道的AI标题中男性出现频率是女性的14倍以上,被引用的专家中四分之三是男性,而AI人才池中女性约占29%;两性都把“担忧”列为对AI的首要情绪,但女性的担忧与恐惧更强,男性则在好奇、热情、兴奋等正面情绪上评分更高。

深度见解

它量化了谁在塑造AI叙事:调查显示专家代表性差距与过度自信并存,提示媒体与行业应更多引用女性专家、并容许说“不确定”。

Say you’re a guy who reads WIRED—you know a thing or two about artificial intelligence. You recognize the names of well-known people developing AI, like OpenAI CEO Sam Altman. But do you know who Mira Murati is? What about Susan Milner? Craig Dalton?

In a new survey of more than 5,400 Americans, 73 percent of male respondents told Harvard researchers they knew who Altman was. A little over half—53 percent—said they knew of Murati, Milner, and Dalton.

There’s one problem. Murati is a real person: she’s the former CTO of OpenAI and the current CEO of Thinking Machine Labs. Milner and Dalton, on the other hand, do not exist.

Compared to women, “we're seeing that men are more optimistic and more confident” across the board when it comes to AI, Harvard Kennedy School’s Shorenstein Center executive director Laura Manley tells WIRED. Sometimes, that veers into overconfidence—like claiming to recognize fictional AI executives. (For context, 40 percent of women claimed to know who Milner and Dalton were; 38 percent said they recognized Murati.)

While Manley notes that men are more overconfident in general when surveyed, the report, published on Wednesday, digs into what the confidence gap on AI looks like, as well as the repercussions of gendered divides.

#Harvard Kennedy School Shorenstein Center#Sam Altman#OpenAI#Mira Murati#Thinking Machine Labs

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