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Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling

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International Journal of Social Robotics Aims and scope Submit manuscript

Abstract

People vary in the extent to which they report fear toward robots, especially when they perceive that the robot is autonomous or has artificial intelligence. This research examines a specific form of sociological fear, which we name as fear of autonomous robots and artificial intelligence (FARAI). This fear may serve to affect how people will respond to and interact with robots. Applying data from a nationally representative dataset with probability sampling (N = 1541), research questions examine (1) the extent and frequency of FARAI, (2) demographic and media exposure predictors, and (3) correlates with other types of fear (i.e., loneliness, drones, and unemployment). A latent class analysis reveals that approximately 26% of participants reported experiencing a heightened level of FARAI. Demographic analyses show that FARAI is connected to participant sex, age, education, and household income; albeit these effects were small. Media exposure to science fiction predicts FARAI above and beyond the demographic variables. Correlational results indicate that FARAI is associated with other types of fear, including loneliness, becoming unemployed, and drone use. In sum, these findings render a much needed glimpse and update regarding how much individuals fear robots and artificial intelligence.

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Authors and Affiliations

  1. Chapman University, 206 Doti Hall, 1 University Drive, Orange, CA, 92866, USA

    Yuhua Liang

  2. Northern Kentucky University, 434 Griffin Hall, Highland Heights, KY, 41091, USA

    Seungcheol Austin Lee

Authors
  1. Yuhua Liang
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  2. Seungcheol Austin Lee
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Correspondence to Yuhua Liang.

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Liang, Y., Lee, S.A. Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling. Int J of Soc Robotics 9, 379–384 (2017). https://doi.org/10.1007/s12369-017-0401-3

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  • DOI: https://doi.org/10.1007/s12369-017-0401-3

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