Literature DB >> 32434459

The ideological divide in public perceptions of self-driving cars.

Yilang Peng1.   

Abstract

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents' concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

Entities:  

Keywords:  economic and social conservatism; political ideology; risk perception; scientific literacy; self-driving cars

Mesh:

Year:  2020        PMID: 32434459     DOI: 10.1177/0963662520917339

Source DB:  PubMed          Journal:  Public Underst Sci        ISSN: 0963-6625


  3 in total

1.  Volumetric Accuracy Analysis of Virtual Safety Barriers for Cooperative-Control Robotic Mastoidectomy.

Authors:  Andy S Ding; Sarah Capostagno; Christopher R Razavi; Zhaoshuo Li; Russell H Taylor; John P Carey; Francis X Creighton
Journal:  Otol Neurotol       Date:  2021-12-01       Impact factor: 2.619

2.  Politics of COVID-19 vaccine mandates: Left/right-wing authoritarianism, social dominance orientation, and libertarianism.

Authors:  Yilang Peng
Journal:  Pers Individ Dif       Date:  2022-04-11

3.  Drivers behind the public perception of artificial intelligence: insights from major Australian cities.

Authors:  Tan Yigitcanlar; Kenan Degirmenci; Tommi Inkinen
Journal:  AI Soc       Date:  2022-10-03
  3 in total

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