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Ethical Integration of Biometric Data in Public Services: Empowering Efficiency, Security, and Privacy through AI-based Self-Service Technologies: Balancing Innovation, Cost-effectiveness, and Data Rights for Enhanced Public Sector Operations
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Orientador(es)
Resumo(s)
In recent years, AI-based self-service technology (SST) has experienced remarkable growth and
transformation within the public sector. This surge in adoption is driven by the myriad advantages it
offers, such as increased adaptability, personalized user experiences, and improved efficiency, costeffectiveness, and overall service quality. The deployment of AI-driven SST has proven to be a
significant change, fostering more seamless interactions with citizens, and providing governments with
opportunities to revolutionize their service delivery. This research ventures into uncharted territory by
exploring the untapped potential lying at the intersection of SST and biometric technology. By
integrating biometric data into the SST framework, a profound shift in the public sector's capabilities
becomes apparent. The synergy between these two technologies promises to propel SST to an
unprecedented level, offering a novel dimension to its applications and benefits. The study delves into
the multifaceted landscape of this amalgamation, providing an in-depth analysis of the profound
benefits it offers to the public sector. Through rigorous examination, it has become evident that the
fusion of biometric technology with SST facilitates a transformative leap in efficiency and the user
experience. This symbiotic relationship redefines public services, optimizing them for the digital age.
Among the notable findings of this research, it is evident that this integration enhances operational
efficiency within the public sector, streamlining processes, and reducing costs. It also fosters a higher
level of security, critical for safeguarding sensitive data, as the study discovered that AI-driven SST,
with biometric data, significantly improves security measures. In summary, the amalgamation of
biometric technology and SST signifies a remarkable leap in the capabilities of the public sector. The
resulting efficiency gains, coupled with the promise of an enhanced user experience, demonstrate the
potential of this integration. This research offers invaluable insights for public sector stakeholders
seeking to navigate the ever-evolving landscape of government services. By embracing these
technologies, governments can unlock a promising future where innovation converges with the
evolving needs of both the government and its citizens.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Biometric Data Artificial Intelligence (AI) Self Service Technologies (SSTs) AI-SST SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 11 - Sustainable cities and communities SDG 16 - Peace, justice and strong institutions