Antecedents and consequences of individuals' trust formation in artificial intelligence in Korea

Moon-Koo Kim, Jong-Hyun Park and Duk Hee Lee

22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society from International Telecommunications Society (ITS)

Abstract: Since the mid-2010s, the rapid advancement of artificial intelligence (AI) has increased both people's expectations and their anxieties. Technology-centered optimism is largely widespread, hoping that AI will lead to a blessing of human life and society by maximizing productivity and efficiency. However, serious concerns, such as job substitution, deepening polarization, and human alienation reinforce society's skepticism of AI (Hurlburt, 2017). To achieve a hopeful and sustainable diffusion of AI, building human trust toward the technology becomes a very critical task. Some studies have stressed the role and importance of trust in the successful deployment and diffusion of AI-based applications (Choi and Ji, 2015; Hengstler et al., 2016; Mcknight et al., 2011). However, to the best of our knowledge, little or no attention has been paid to the antecedents and consequences of trust formation in AI. Therefore, against the background of Korean context, we aim to investigate the personal and technical factors influencing that trust formation, which in turn will impact individuals' value-perceptions on AI. We address this problem with three research questions. RQ1: What are the perceived technological factors that affect the formation of trust in AI? RQ2: What are the personal characteristics that affect the formation of trust in AI? RQ3: Does trust in AI affect individuals' value-perceptions?

Date: 2018
New Economics Papers: this item is included in nep-big
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