Title: Exploring the Integration of Privacy-enhancing Technologies in Taiwan’s Artificial Intelligence and Data Protection Frameworks

Author: Hayung Sbeyan

Journal: Journal of Data Protection and Privacy (Henry Stewart Publications LLP, ISSN: 2398-1679)

Volume: 7.2

Publication Date: 2025 Spring

Pages: N/A

Review method: Double-blind peer review

Abstract:

This study explores the integration of privacy-enhancing technologies (PETs) within Taiwan’s artificial intelligence (AI) and data protection frameworks, focusing on the Taiwan AI Fundamental Act and the Personal Data Protection Act. In response to the Constitutional Court’s directive for improvements in data protection, the Ministry of Digital Affairs proposed PET guidelines to align technology with regulatory frameworks. PETs, such as differential privacy, homomorphic encryption, and secure multiparty computation, are highlighted as innovative solutions that balance data privacy with usability. Despite their potential, PETs face significant technical, legal, and economic challenges. Implementing these technologies is particularly complex in sensitive sectors like finance and healthcare, where data security is paramount. Additionally, the legal ambiguity surrounding the application of PETs creates a risk of inconsistent interpretation and enforcement, especially across different industries. While some degree of ambiguity is necessary for technological flexibility, the author argues that clear legal frameworks and technical guidelines must be provided to support the practical implementation of PETs. The government must actively promote education and cross-sector collaboration to ensure the consistent application and successful adoption of these technologies. Though the PETs guideline could reduce the efforts for implementation of PETs, applying the guideline might be an issue for decision-makers. Thus, while using suggested techniques, one should have a basic knowledge of these technologies, which will pour the maximum value of the guideline. On the other hand, if researchers, especially legal researchers seeking legal compliance, could understand the technology’s meaning and the result after implementing PETs, it might help reduce the understanding of data protection requirements in practice. Ultimately, the author concludes that balancing privacy protection with technological innovation is vital to ensuring the long-term success of PETs in Taiwan’s evolving data governance landscape.

Keywords: Regulatory Compliance for PETs in Taiwan, Privacy Enhancing Technology, Taiwan AI Act

Article Link: https://www.henrystewartpublications.com/jdpp

Suggestions Reference: Hayung Sbeyan, ‘Exploring the integration of privacy-enhancing technologies in Taiwan’s artificial intelligence and data protection frameworks’ (2025) 7.2 Journal of Data Protection and Privacy, (pages)

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中文如下：

文章名稱：探索隱私強化技術在台灣人工智慧法與資料保護框架中之整合

期刊名稱與卷期：資料保護與隱私期刊，7卷2期，頁

出版日：2025春

作者：李子鋐

摘要(ChatGPT 翻譯)：

本文探討隱私強化技術（Privacy-Enhancing Technologies, PETs）在台灣人工智慧（AI）與資料保護框架中的整合，聚焦於《台灣人工智慧基本法(草案)》與《個人資料保護法》。因應憲法法庭對資料保護改善的判決，數位發展部提出了隱私強化技術應用指引，以使技術與法律監理框架相結合。PETs，例如差分隱私、同態加密和安全多方計算，被視為平衡資料隱私與可用性的重要創新解決方案。

儘管具備潛力，PETs面臨重大的技術、法律及經濟挑戰。在金融及醫療等對資料安全要求極高的敏感領域，實施這些技術尤為複雜。此外，有關PETs應用的法律模糊性，可能導致不同產業間的不一致解釋與執行風險。雖然某程度的模糊性對技術靈活性是必要的，作者主張需提供清晰的法律框架及技術指引，以支持PETs的實際應用。

政府必須積極推動教育與跨領域協作，確保這些技術的一致應用與成功採用。儘管該指引能減少實施PETs的困難，但在應用該指引時，決策者仍可能面臨挑戰。因此，在使用建議的技術時，應具備這些技術的基本知識，以發揮指引的最大價值。另一方面，若研究者，特別是追求法律合規的法律研究者，能理解技術的意涵以及實施PETs後的結果，可能有助於降低實務中對資料保護要求的理解難度。

最終，作者總結指出，在台灣不斷演進的資料治理框架中，平衡隱私保護與技術創新，對於PETs的長期成功至關重要。