Albert, the French ChatGPT in public service: a viable alternative for artificial intelligence?

For several years now, artificial intelligence (AI) has been at the heart of debates on the modernization of public services. With the advent of Albert, a virtual assistant developed by the French government, hopes for a more efficient and accessible French administration have been rekindled. However, despite the promises of a bureaucratic revolution, the tool is struggling to deliver. So, is Albert really a viable alternative for the public sector? In this article, we will explore the emergence of Albert, its ambitions, its challenges, and its impact on French public services in 2025.

Albert: The French Government’s Ambitious Project

The launch of Albert comes at a time when the issue of digital transformation is crucial. In April 2024, Gabriel Attal, then Prime Minister, enthusiastically announced the deployment of this artificial intelligence to simplify access to public services. Inspired by the success of technologies like OpenAI’s ChatGPT, Albert was seen as the French equivalent, designed to provide citizens with answers to a variety of issues, from taxes to retirement to vehicle registration. Albert’s true goal is to reduce bureaucracy. With nearly 100 France Services locations equipped with this AI, the goal is to enable citizens to interact more easily with administrative services. However, behind the optimistic rhetoric, a hidden camera investigation revealed several flaws in the tool’s effectiveness. Indeed, its performance leaves something to be desired, calling into question the very idea that AI can truly modernize public services.Albert’s Ambitions vs. Reality

First, it’s important to clarify the expectations placed on Albert. As a virtual agent, he was expected to:

Answer citizens’ questions in real time.

Lighten the workload of civil servants.

Provide 24/7 access to administrative information.
Optimize processing times for administrative requests.
However, these promises have not yet been fulfilled. After a year of implementation, the results are mixed. Albert, which cost nearly €1.3 million, required collaboration with private companies for its development. This model raises questions of efficiency, transparency, and cost that must be addressed.
The Challenges of Implementing AI in the Public Sector

In 2025, the reality of integrating Albert into public services raises several recurring challenges. How can a technology intended to facilitate procedures, paradoxically, create new complications? The obstacles encountered in the use of Albert can be divided into several categories:

User Acceptance:

Administrative officials’ reluctance to change may hinder Albert’s adoption. Technological Limitations:

Albert’s answers sometimes lack precision, leading to frustration and misunderstandings. Data Analysis:
Poor management of collected data can compromise the effectiveness of AI. Analyzing these challenges, several experts, including those from Google and IBM, emphasize that the key to success lies in adequate user training and constant updating of the algorithms that power Albert.
Challenge Possible Consequences

Potential Solutions User Acceptance Delay in Albert’s Go-Live Training Sessions, Tailored CommunicationTechnological Limitations

Increased Dissatisfaction	Regular Updates, Building Partnerships with Tech Teams	Data Analysis
Faulty or Biased Data	Regular System Audits, Ethical Data Farms	Through these challenges, it is clear that Albert is not just a tool, but a project requiring significant adjustments to truly transform the landscape of public services. So, what are the possible solutions to get back on track?
Technological and human solutions for Albert	To overcome the challenges associated with Albert, several initiatives must be considered. These are primarily technological and human approaches that will improve the functionality and acceptability of AI.	First, increased collaboration with pioneering AI companies like Microsoft and NVIDIA could prove beneficial. By leveraging their expertise, the government can optimize Albert’s performance and ensure that it meets user expectations.
Second, implementing ongoing training programs for civil servants is essential. If employees are well-trained, they will be more likely to use Albert effectively, which will increase the adoption rate and, consequently, citizen satisfaction. Furthermore, user feedback must be valued. Creating a feedback system will allow developers to adjust Albert based on the real needs of users and citizens.	Finally, it would be wise to install change team leaders in each France Services office. These stakeholders will be able to manage Albert’s integration, facilitate communication between users and developers, and ensure a seamless user experience.	Innovation and Future Prospects for Albert

Looking ahead, it is essential to consider how Albert could evolve and what new features could be integrated to appeal to French citizens. Integrating solutions from large companies such as Cortexica and Dataiku would offer interesting possibilities:

Optimizing data processing for more relevant responses.

Adding a natural language processing module to improve query comprehension.

Implementing more intuitive interfaces, inspired by the best standards observed at companies such as Thales and SAP. These potential developments could transform Albert into a true digital assistant capable of meeting a variety of needs while limiting human interaction for the simplest tasks. In summary, for artificial intelligence to become a real asset for public services in France, it is imperative that Albert be extensively supported by community initiatives and the ongoing support of digital stakeholders. Citizen curiosity and engagement will also play a fundamental role in the acceptance of this technology, allowing Albert to flourish and bring its promises to life.