Publicação
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
| Resumo: | 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. |
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| Autores principais: | Sequeira, José Carlos Bate Eusébio |
| Assunto: | 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 |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | 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. |
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