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January 21, 2025
The integration of Artificial Intelligence (AI) in the public sector holds enormous potential for increasing efficiency and improving services. However, experts are increasingly emphasizing that the quality of existing data structures represents a crucial hurdle for successful implementation. Poor data quality and outdated systems prevent AI from reaching its full potential.
Studies show that public services suffer significant productivity losses due to outdated technologies and inefficient processes. Many services are not yet available online, forcing citizens to make time-consuming and frustrating visits to government offices. Public sector employees are also burdened by inefficiencies, such as processing large quantities of physical mail. This slows down response times and makes it difficult to deliver services.
A central problem lies in the lack of coordination between different authorities and the use of outdated paper-based processes. This leads to fragmented systems and makes data exchange difficult. Particularly affected are vulnerable individuals who have to interact with numerous agencies and repeatedly provide the same information.
Experts emphasize that modernizing technology alone is not enough. The focus must be on improving data structure, quality, and timeliness. AI systems can only work effectively if they are fed with reliable and well-structured data. It is therefore essential that the database is optimized before implementing AI solutions. Clear, measurable goals for service delivery and the impact on the core tasks of the authorities are crucial.
Outdated IT infrastructures cause high costs and pose a security risk. The maintenance costs for legacy systems are significantly higher than for modern technologies. In addition, the number of outdated systems classified as unreliable and vulnerable to cyberattacks is increasing. System failures lead to disruptions in service operations and force employees to fall back on paper-based systems.
To meet these challenges, comprehensive reforms in the public sector are necessary. The use of AI, digital tools, and modern working methods is intended to improve the efficiency and accessibility of services. The simplification of administrative processes should enable employees to focus more on the needs of citizens.
New AI-powered tools can, for example, assist in analyzing consultation responses, researching parliamentary debates, creating meeting minutes, and summarizing guidelines. These tools are intended to help eliminate inefficiencies and save costs in the long term.
The successful integration of AI in the public sector requires a comprehensive data strategy. Improving data quality, standardizing data formats, and secure data exchange between authorities are crucial steps. Only in this way can the potential of AI be fully exploited and contribute to an improvement in public services.
AI offers the public sector the opportunity to make its services more efficient and citizen-friendly. However, this requires a solid database and a strategic approach to AI integration. Focusing on data quality and infrastructure is crucial to successfully mastering the challenges of digital transformation and harnessing the full potential of AI.
