@article{ART003099663},
author={Kim Hyoeun},
title={University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews},
journal={PHILOSOPHY·THOUGHT·CULTURE},
issn={1975-1621},
year={2024},
number={45},
pages={319-361},
doi={10.33639/ptc.2024..45.012}
TY - JOUR
AU - Kim Hyoeun
TI - University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews
JO - PHILOSOPHY·THOUGHT·CULTURE
PY - 2024
VL - null
IS - 45
PB - Research Institute for East-West Thought
SP - 319
EP - 361
SN - 1975-1621
AB - The issue of AI bias is growing both domestically and internationally. The target groups affected by AI bias are typically gender and race. This study focused on the perception of gender bias, which is more influential in Korea, and conducted in-depth interviews with ten university students in their 20s who are about to enter the workforce, especially those with experience in A.I. development. Methodology: This study aimed to find out the perception of gender bias in A.I. and the current state of technology through in-depth interviews. To this end, we conducted a preliminary survey and a supplementary in-depth interview in stages. The results showed that university students were aware of gender bias in society and AI. However, they perceived that their personal experience of gender-related discrimination was independent of their development. Due to the nature of the field, recruitment is not affected by gender, but we did not exclude the possibility that an individual’s background and experience may affect the development process of AI, even if unconsciously. It was suggested that gender bias, if present, could be adjusted for by adding or weighting more data related to one gender. Most of the interviewees agreed that recent advances in bias mitigation techniques can be applied by applying existing techniques, suggesting that natural environments and training are needed to mitigate gender bias in AI. Based on these perceptions, this paper presents policy suggestions to materialize them.
KW - gender;bias;artificial intelligence;in-depth interview
DO - 10.33639/ptc.2024..45.012
ER -
Kim Hyoeun. (2024). University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews. PHILOSOPHY·THOUGHT·CULTURE, 45, 319-361.
Kim Hyoeun. 2024, "University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews", PHILOSOPHY·THOUGHT·CULTURE, no.45, pp.319-361. Available from: doi:10.33639/ptc.2024..45.012
Kim Hyoeun "University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews" PHILOSOPHY·THOUGHT·CULTURE 45 pp.319-361 (2024) : 319.
Kim Hyoeun. University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews. 2024; 45 : 319-361. Available from: doi:10.33639/ptc.2024..45.012
Kim Hyoeun. "University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews" PHILOSOPHY·THOUGHT·CULTURE no.45(2024) : 319-361.doi: 10.33639/ptc.2024..45.012
Kim Hyoeun. University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews. PHILOSOPHY·THOUGHT·CULTURE, 45, 319-361. doi: 10.33639/ptc.2024..45.012
Kim Hyoeun. University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews. PHILOSOPHY·THOUGHT·CULTURE. 2024; 45 319-361. doi: 10.33639/ptc.2024..45.012
Kim Hyoeun. University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews. 2024; 45 : 319-361. Available from: doi:10.33639/ptc.2024..45.012
Kim Hyoeun. "University Students’ Perceptions of Gender Bias in AI-Based on In-depth Interviews" PHILOSOPHY·THOUGHT·CULTURE no.45(2024) : 319-361.doi: 10.33639/ptc.2024..45.012
