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http://dx.doi.org/10.14352/jkaie.2020.24.1.21

Analysis of Daily Internet·Gaming·Smartphone Habit and Preference Factors of Moral Machine  

Park, SunJu (Dept. of Computer Science Education, Gwangju National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.24, no.1, 2020 , pp. 21-28 More about this Journal
Abstract
Technological advancements such as artificial intelligence, robots, and big data are revolutionizing the entire society. In this paper, we analyzed preliminary teachers' daily internet/gaming/smartphone habit and the difference between preference factors in gender and diagnosis group in the situation of ethical dilemma in driverless cars. The result shows most of the male students are in high risk group of daily internet/gaming usage, and male students tend to be more immersed in games compared to female students, which negatively affects their daily lives. Students who have at least one of the daily internet/gaming/smartphone habits are more likely to be classified as high-risk group in all three of daily internet/gaming/smartphone habit. Fortunately, the students perceived themselves addicted and wanted change their habits. An analysis by a moral machine of these students tells that there is no significant difference in preference between male and female students and among diagnosis groups. However, specifically in the ethical dilemma of driverless cars, all the groups of male, female, normal, high-risk showed they have priority in pedestrians over drivers, a large number of people over small, and people who obey traffic rules over who do not. The tendency was pronounced in female group and high-risk students prioritized people who are older and in lower social status.
Keywords
Daily Internet/Gaming/Smartphone habit; AI Ethics; Moral Machine; Computational Thingking; AI education;
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