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Exploring the factors affecting data bias from the perspective of data ethics

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(6), 7
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : October 29, 2025
  • Accepted : December 17, 2025
  • Published : December 31, 2025

Gwangsu Lee 1

1대구가톨릭대학교

Accredited

ABSTRACT

With the rapid advancement of artificial intelligence (AI), big data, and the Internet of Things (IoT) technologies, ethical issues related to data utilization have become increasingly prominent. In particular, data bias has emerged as a critical issue that directly affects the fairness, reliability, and transparency of AI systems. This study aims to identify the key factors influencing data bias from the perspective of data ethics and to establish a foundation for the design of ethical AI systems. To achieve this, in-depth interviews were conducted with 11 experts to derive major factors contributing to data bias, followed by a survey of professionals in AI-related fields for empirical validation. Exploratory factor analysis, reliability testing, and regression analysis were employed to examine the statistical significance of the identified factors. The results of this study are expected to contribute to establishing ethical standards for data collection and processing, improving the quality of AI training data, and proposing design principles to prevent bias. Furthermore, the findings provide fundamental insights for strengthening AI data governance and fostering trustworthy artificial intelligence.

Citation status

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