Perceived Risk of Emerging Information Technologies: The Relationship between Knowledge and Perceived Risk of AI, Machine Learning, Self-driving and VR

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  • TAKAGI Aya
    Faculty of Social Systems Science, Chiba Institute of Technology
  • TAKEDA Mia
    Department of Liberal Arts, Aoyama Gakuin Women’s Junior College
  • KOMORI Megumi
    College of Integrated Human and Social Welfare Studies, Shukutoku University
  • KONNO Susumu
    Faculty of Advanced Engineering, Chiba Institute of Technology

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  • 情報分野の先端科学技術に対するリスク認知―知識要因に着目した検討―
  • ジョウホウ ブンヤ ノ センタン カガク ギジュツ ニ タイスル リスク ニンチ : チシキ ヨウイン ニ チャクモク シタ ケントウ

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<p>Emerging information technologies are rapidly growing and expected to change the social systems drastically. This study investigated the relationships between knowledge and risk perceptions regarding new technologies such as AI, machine learning, self-driving, and VR. We conducted an online survey and measured the risk perception and basic scientific knowledge and domain specific knowledge (subjective and objective knowledge regarding emerging information technologies). The results of hierarchical regression analyses showed that the interactive effect of subjective and objective domain specific knowledge was significant. Participants who rated higher in both of subjective and objective knowledge perceived lower risk than other participants. Basic scientific knowledge was correlated with objective knowledge but not significant predictor of risk perception. The explanatory power of the knowledge factors was lower than institutional trust.</p>

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