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Qualitative Meta-Analysis on the Importance of Personal Information Protection in the Context of AI Adoption

  • Industry Promotion Research
  • Abbr : IPR
  • 2025, 10(1), pp.71-82
  • DOI : 10.21186/IPR.2025.10.1.071
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : December 16, 2024
  • Accepted : January 15, 2025
  • Published : January 31, 2025

Ye Eun Kim 1 Kim, Seung In 2

1홍익대학교 국제디자인전문대학원
2홍익대학교 국제디자인전문대학원 디지털미디어디자인전공

Accredited

ABSTRACT

This study focuses on systematically analyzing the key factors related to privacy protection with the introduction of AI technology and presenting measures to improve them. The research methodology involved selecting 5,371 papers published between 2016 and 2024 according to the PRISMA framework, and ultimately including 23 studies. These were systematically organized using Microsoft Excel. The main research factors were evaluated through frequency analysis and qualitative analysis. The analysis results indicate that AI technology poses various challenges to privacy protection. The key factors identified include legal regulations (29.73%), data transparency (25.68%), and technical security (13.51%). The study also highlights that AI technology can increase the risk of privacy infringement and suggests ethical standards and legal improvements to mitigate this risk. To enhance privacy protection in the AI era, a multidimensional approach is required. This study aims to provide academic contributions and policy implications by systematically analyzing the interactions between AI and privacy protection.

Citation status

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