Whose AI? How different publics think about AI and its social impacts

作者：

Highlights：

• We classify Americans' AI perceptions into five segments: negative, ambivalent, tepid, ambiguous, and indifferent classes.

• Views of AI vary both by the level of news attention and the content audiences attend to.

• The negative and the ambivalent classes largely differ in support for AI, but agree that their voices should be heard.

• The indifferent and the ambiguous classes include more minorities who may be disproportionately affected by AI.

• Now is a great time to engage with the publics on issues related to AI because it is not overtly politicized.

摘要

•We classify Americans' AI perceptions into five segments: negative, ambivalent, tepid, ambiguous, and indifferent classes.•Views of AI vary both by the level of news attention and the content audiences attend to.•The negative and the ambivalent classes largely differ in support for AI, but agree that their voices should be heard.•The indifferent and the ambiguous classes include more minorities who may be disproportionately affected by AI.•Now is a great time to engage with the publics on issues related to AI because it is not overtly politicized.

论文关键词：Public opinion,Risk perceptions,Benefit perceptions,Segmentation analysis,Artificial intelligence

论文评审过程：Received 2 October 2021, Revised 26 December 2021, Accepted 5 January 2022, Available online 6 January 2022, Version of Record 25 January 2022.

论文官网地址：https://doi.org/10.1016/j.chb.2022.107182