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cover of episode U.S. Public Opinion about AI with Professor Paul Brewer and co-authors

U.S. Public Opinion about AI with Professor Paul Brewer and co-authors

2020/9/2
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Ashley Paintsil
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James Biggerman
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Paul Brewer
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Paul Brewer: 本研究发现，美国公众对人工智能的看法存在显著的两面性。一方面，大多数人对人工智能改善日常生活抱有希望；另一方面，他们也担心人工智能可能威胁人类生存。此外，公众对人工智能的监管存在矛盾心理，既希望监管，又不信任政府进行监管。这种矛盾源于公众对人工智能的了解有限，以及媒体信息对公众认知的影响。 James Biggerman: 通过对开放式问题的分析，我们发现公众对人工智能的最初印象主要源于媒体对机器人和技术的描绘。这种刻板印象影响了公众对人工智能风险的认知，许多人将人工智能与机器人接管世界等科幻场景联系起来。 Ashley Paintsil: 本研究表明，媒体信息对公众对人工智能的态度有显著影响。关注科技新闻、观看科幻作品以及使用人工智能个人助理的人们对人工智能的看法更为积极。此外，教育程度也与对人工智能的积极态度相关。媒体中对人工智能的框架性叙事（例如社会进步框架或潘多拉魔盒框架）以及图像（例如Siri/Alexa的图像或科幻电影中机器人的图像）都会影响公众的认知。

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The survey was motivated by popular culture images of AI and recent news stories about its potential dangers, as well as the increasing presence of AI in everyday life and societal issues like policing and racism.

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An interview with Professor Paul Brewer and PhD Students James Bingaman and Ashely Paintsil about their new survey paper "Media Messages and U.S. Public Opinion about Artificial Intelligence)" about what the general U.S. public thinks about AI, and how popular media and interaction with new technology shapes it.

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