A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis

A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis

연구 분야: Artificial Intelligence

학회: CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms

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.