Large Language Models (LLMs) for a more efficient and modern Public Administration
What are LLMs (Large Language Models)?
Large Language Models (LLMs), or large-scale language models, represent one of the most significant innovations in the field of artificial intelligence.
They are highly sophisticated deep learning systems designed to understand, interpret and generate written natural language accurately and coherently.
These models develop their capabilities through training on texts from diverse sources such as books, articles, and online content. In doing so, they learn to recognize and reproduce the syntactic, semantic, and lexical structures typical of human language, enabling them to model it with remarkable precision.
How Large Language Models Can Be Applied in Public Administration
The potential of Large Language Models (LLMs) opens transformative scenarios for Public Administration (PA), enabling the management of complex tasks in an automated or semi-automated way and significantly streamlining internal processes.
Generative AI can boost productivity by automating repetitive tasks and optimizing the organization and efficiency of public administration. Concrete applications include, for example, advanced AI chatbots capable of providing citizens with answers by drawing on specific and up-to-date sources.
At the local level, LLMs can help personalize services, supporting offices in handling frequent requests and automatically generating documents. In the judicial sector, these models can assist courts and legal offices in quickly researching precedents and regulations, producing clear and reliable summaries.
How the work of Public Officials changes with the arrival of LLMs
The introduction of Large Language Models (LLMs) represents a true paradigm shift in the work of public officials. Generative artificial intelligence can automate tasks that currently require significant resources, such as analyzing large amounts of data, managing repetitive procedures or sorting digital communications.
This advancement allows public employees to focus on more complex, high-value tasks, reducing routine operational work. Officials take on a supervisory and oversight role, ensuring the accuracy of results, intervening in case of anomalies, and handling situations that require decision-making and interpretative skills.
How to ensure Privacy and Protection of sensitive data in Public LLM Systems
Protecting privacy and safeguarding sensitive data are essential aspects of adopting artificial intelligence-based technologies. These activities must be carried out in full compliance with current regulations, such as the GDPR and the forthcoming AI Act.
To ensure the reliability and security of systems, it is crucial that the data used to train models is of high quality and handled in accordance with principles of confidentiality and transparency.
Public administrations, in particular, are called upon to define a governance framework for data and artificial intelligence that ensures legal and ethical compliance throughout the entire lifecycle of the adopted solutions. As institutional actors, they should aim not only to meet the minimum compliance requirements but also to implement a data management model that fully reflects their social and public responsibility.
Margot: the AI Solution for the Modern Public Administration
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Thanks to its modular, scalable and easily configurable architecture, Margot represents an innovative and strategic solution, ideal for public administration. It is capable of effectively addressing new sector challenges and responding to ever-evolving needs.
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