The Role of AI in Data Anonymization: Can We Trust It with Our Privacy?

Author(s)	Meghasai Bodimani
Country	United States
Abstract	Modern digital systems that rely heavily on data collection have made user privacy the key operational challenge. Private or sensitive information needs data anonymization through identifier removal or encryption to protect it across healthcare, financial and e-commerce operations. Implementing Artificial Intelligence (AI) technology created new procedures to automate data anonymization processes. Privacy preservation remains uncertain when using AI-based anonymization systems since these technologies might introduce privacy vulnerabilities. The article examines how AI interacts with data anonymization by reviewing framework capabilities supported by related advantages and inherent restrictions. The article discusses whether AI solutions yield improved privacy security or if they give rise to novel exposure risks because of de-anonymization features and algorithmic bias vulnerabilities. This paper analyzes the academic and industrial development of AI applications for privacy preservation through an organized review process establishing an essential evaluation of AI's influence on future privacy techniques.
Keywords	Artificial Intelligence, Data Anonymization, Privacy Preservation, De-Anonymization Risks, Algorithmic Bias
Field	Computer
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-29
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42670
Short DOI	https://doi.org/g9g73v

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International Journal For Multidisciplinary Research