The scale of this phenomenon is illustrated by the latest NASK report “AI in public e-administration – the perspective of officials and institutions”. It shows that algorithms are no longer a thing of the future, but have become an element of everyday routine.
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As much as 77 percent of surveyed officials admit that they come into contact with AI technology at least once a day. Most often, they use these tools to find facts (59 percent of responses) and to edit letters and documents (46 percent).
Efficiency yes, but without shifting responsibility
The highest levels of administration have already responded to the digital revolution in officials' desks. The head of the civil service, Anita Noskowska-Piątkowska, sent a special document with guidelines to all corps members.
As “DGP” warns, officials using AI “must expect consequences, including disciplinary liability.”
Artificial intelligence does not relieve humans of responsibility for errors in decisions or documents.
Another powerful obstacle to the full implementation of AI in offices are personal data protection regulations. Officials cannot simply “feed” publicly available AI models with confidential information about citizens.
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Entering confidential data into external systems in order to create, for example, a draft of an administrative decision or its justification is categorically prohibited by the GDPR. This means that without safe, dedicated systems, the automation of more difficult tasks comes to a standstill.
The government is looking for solutions and counting AI systems
To master this technological element, the state is preparing systemic support. Central training courses are planned to be organized by the Chancellery of the Prime Minister. Additionally, the Ministry of the Interior and Administration is already working on creating a dedicated legal framework for services and officials.
However, before new regulations are created, the ministry must learn the scale of the phenomenon. Currently, the Ministry of Interior and Administration is conducting an extensive audit and collecting information in offices about how exactly and for what tasks artificial intelligence is currently used there.
