@inproceedings{d4d8dbfe56b4477589b41fcad45e7169,
title = "A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis",
abstract = "As the influence of AI expands across sectors, a practical ethical framework becomes critical to prevent biases and guide applications. This study presents an innovative educational framework combining the Case Method with network analysis to dissect ethical issues within AI applications. Employing a comprehensive case study approach, we examine the use of AI in Japanese job hunting to evaluate our framework's ability to analyze response patterns and enhance ethical decision-making. Our analysis of participant responses before and after educational interventions reveals marked improvements in ethical reasoning and awareness, affirming the framework's efficacy in fostering critical ethical engagement.",
keywords = "AI ethics education, Case method, Job hunting, Network analysis, Network motifs",
author = "Tengfei Shao and Tianxiang Yang and Haoran Luo and Masayuki Goto and Shingo Takahashi",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 4th International Conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2024 ; Conference date: 21-06-2024 Through 23-06-2024",
year = "2024",
month = oct,
day = "24",
doi = "10.1145/3690407.3690423",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "92--100",
booktitle = "Proceedings of 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2024",
}