Your Faces Matter: Facial Recognition Technology (FRT) in AI-Enabled Public Services and Provision

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Detalles Bibliográficos
Publicado en:	ProQuest Dissertations and Theses (2025)
Autor principal:	Li, Robin Guohuibin
Publicado:	ProQuest Dissertations & Theses
Materias:	Public administration Public policy Communication
Acceso en línea:	Citation/Abstract Full Text - PDF
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100	1		\|a Li, Robin Guohuibin
245	1		\|a Your Faces Matter: Facial Recognition Technology (FRT) in AI-Enabled Public Services and Provision
260			\|b ProQuest Dissertations & Theses \|c 2025
513			\|a Dissertation/Thesis
520	3		\|a In the era of digitalization, governments and public agencies have increasingly leveraged Artificial Intelligence (AI) technologies to enhance the efficiency and effectiveness of public service outcomes. Among various AI-driven tools, Facial Recognition Technology (FRT) has rapidly transitioned from specialized law enforcement applications into a broader spectrum of public service domains, including digital tax services, healthcare, education, and transportation. This swift and expansive deployment aims to streamline administrative processes, improve service accuracy, and achieve higher levels of citizen satisfaction. However, despite its promising potential, reliance on inadequately tested or unreliable FRT—particularly systems trained on datasets lacking diverse representation—raises critical concerns. Such biased systems can exacerbate existing societal inequities, heightening risks of discrimination against marginalized communities and individuals. Additionally, the proliferation of FRT invites profound debates around privacy invasion, data security vulnerabilities, and the erosion of governmental accountability. The resulting societal tension poses significant risks, potentially deepening social divisions, undermining democratic processes, jeopardizing fundamental public values, and creating unforeseen negative consequences. Navigating this complexity is foundational to the inquiry undertaken by this dissertation. Notably, while the urgency of addressing these challenges is clear, the current public administration literature suffers from a scarcity of theoretical frameworks and robust empirical data capable of guiding sound policymaking and responsible implementation of FRT in public services. To bridge this gap, this dissertation systematically investigates the implications of adopting FRT within digitally delivered public services through the lenses of public administration and management. Structured as a three-essay research endeavor, each essay focuses on distinct public service scenarios, employing diverse theoretical frameworks and methodological approaches to critically analyze the societal impacts associated with government-led deployments of FRT. As FRT use is likely to continue rolling out, the insights from this dissertation contribute significantly to the formation of interdisciplinary theoretical foundations, integrating perspectives from digital government research, information systems, and communication studies. Furthermore, the research offers actionable guidance for policymakers, public administrators, and technology practitioners, facilitating informed decision-making and responsible integration of intrusive surveillance technologies into public service frameworks.
653			\|a Public administration
653			\|a Public policy
653			\|a Communication
773	0		\|t ProQuest Dissertations and Theses \|g (2025)
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856	4	1	\|3 Citation/Abstract \|u https://www.proquest.com/docview/3222466130/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch
856	4	0	\|3 Full Text - PDF \|u https://www.proquest.com/docview/3222466130/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch