| 英文摘要 |
With its rapid growth in recent years, Automatic Facial Recognition (AFR) has become the most promising biometric technique. However, AFR’s unwarranted collection and use of consumers’personal data have also become an increasing threat to privacy protection. Taiwan’s personal data protection laws are mostly made by borrowing EU’s relevant regulations. Hence, the existing discourse on the protection of data producers in Taiwan highlights the interpretation of EU’s General Data Protection Regulation (GDPR), and lacks studies of the US laws’development path. To address this research gap, this paper focuses on the regulatory framework and landmark judgments concerning AFR in U.S. law, with a specific emphasis on the applicability issues of the Illinois Biometric Information Privacy Act. Based on this examination, suggestions for the development of legal frameworks in Taiwan are proposed. This paper first explores various potential scenarios based on different“regulatory subjects,”“protected subjects,”and“application contexts”(specific purposes). Next, it examines U.S. federal court rulings, with a focus on the legal requirements for filing lawsuits and jurisdictional issues, to identify benchmark judgments and underlying issues raised by data subjects invoking the Illinois Biometric Information Privacy Act. Subsequently, it discusses the evaluation and applicability issues of biometric data under the Taiwanese Personal Data Protection Act, before proposing directions for the development and enhancement of legal frameworks in Taiwan. This paper proposes two approaches for regulatory adaptation: amending the Personal Data Protection Act to include specific provisions or enacting a separate facial recognition special law. The former involves adding relevant special clauses to the existing Personal Data Protection Act when deemed necessary for moderate regulation of facial recognition. The latter entails incorporating specific provisions into specialized legislation (departmental legislation) pertaining to the areas of facial recognition application. This article leans towards the latter path of choice, advocating for a framework that includes“context-based typological regulations,”“a dual protection mechanism balancing‘ex-ante regulation’and‘ex-post remedies,’”and‘a prioritization strategy legislation in law enforcement.’This approach aims to achieve a certain degree of accommodation and adjustment in the legal framework for the application of the Personal Data Protection Act. |