발간년도 : [2021]
| 논문정보 |
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| 논문명(한글) |
[Vol.16, No.5] A Study on the Group Differences Between Weak and Strong AI Perceptions Among University Students over Personal, Psychological and Ethical Issues |
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| 논문투고자 |
Namin Shin, Jong-Wook Kim |
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| 논문내용 |
This study analyzed group differences between weak and strong AI perceptions over personal and psychological variables and ethical issues. The research participants were 349 university students (female=60.2%, natural science/engineering major=71.6%, strong AI group=58.2%) recruited from three 4-year universities located in the city of Seoul, Busan, and Kyung-nam province. The survey was administered online; and collected data were analyzed via spss version 21.0 using t-test, cross-tab and frequency analyses. The results of the data analysis are summarized as following. First, no statistical differences were found out between the two groups in the variables of sex, major, experience and knowledge of AI. Second, psychological variables such as negative attitude towards AI, anxiety, pessimistic and optimistic scores proved to make a difference between the two groups. Weak AI groups were more negative, anxious, pessimistic and less optimistic towards AI than strong AI groups. Third, no difference was observed in their perceptions of usefulness and easiness of AI technology. Fourth, perceived need for AI ethics education is higher in strong AI groups than weak AI groups. Fifth, among the 12 application areas of AI, both groups ranked high in service (1st) and transportation (3rd) sectors along with translation and medical fields ranked second in each group. Sixth, regarding the subject of AI ethics, both groups gave developers strong responsibilities in the areas of self-driving car, medical services, education, elderly care, and military robots/AI. In addition, the degree of ethical requirements for manufacturers, service providers, and users were found to vary in each areas. The results of this study suggest that an individual's perception of AI has to do with psychological variables, but not directly related to the acceptance of AI technology. Regarding AI ethics, this study revealed that different weights of responsibility are given to differing AI applications and stakeholders. |
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