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http://dx.doi.org/10.14400/JDC.2022.20.1.071

Development and Validation of Ethical Awareness Scale for AI Technology  

Kim, Doeyon (Graduate School of Education, Environmental Education, Seoul National University)
Ko, Younghwa (Graduate School of Convergence Technology Management Engineering, Yonsei University)
Publication Information
Journal of Digital Convergence / v.20, no.1, 2022 , pp. 71-86 More about this Journal
Abstract
The purpose of this study is to develop and validate a scale to measure the ethical awareness of users who accept artificial intelligence technology or service. To this end, the constructs and properties of AI ethics were identified through literature analysis on AI ethics. Reliability and validity were assessed through a preliminary survey(N=273), after conducting an open-type survey to men and women(N=133) in 10s to 70s nationwide, extracting the first questions, and reviewing them by experts. The results of an online survey conducted on men and women(N=500) were refined by confirmatory factor analysis. Finally, an AI technology ethics scale was developed. The AI technology ethics awareness scale was developed with 16 questions in total of 4 factors (transparency, safety, fairness, accountability) so that general awareness of ethics related to AI technology can be measured by detailed factors. In addition, through follow-up research, it will be possible to reveal the relationship with measurement variables in various fields by using the ethical awareness scale of artificial intelligence technology.
Keywords
Artificial Intelligence; Ethical Awareness; Transparency; Fairness; Safety; Responsibility;
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