AI in communities and territories

Artificial intelligence has spread rapidly within local authorities, creating a striking contrast between the widespread interest and the cautious approach to its deployment. Many employees are already using AI tools, often outside of established frameworks, while organizations are seeking to structure these practices.

Five priorities for a successful deployment

The directorates general identify five key areas: seeking efficiency to free up useful time, supporting staff without opposing innovation and public service, securing while allowing experimentation, treating ethics and sovereignty as management issues, and integrating environmental sobriety from the outset.

Immediate gains, but with conditions

AI is proving its worth in tasks such as drafting letters, reports, or minutes. The real benefit lies in the rapid production of a high-quality first draft, provided that the user remains responsible, systematically proofreads, and verifies the content produced.

Acculturation, a major issue

A successful deployment requires training on three levels: understanding how AI works and its limitations, mastering the techniques of formulating requests, and integrating the tool into work processes without disempowering agents.

New risks, new governance

Each user becomes a potential entry point for risk. Communities must build a robust framework with a multidisciplinary steering body, a usage register, secure environments, and rules graduated according to the risk level of each use.

Usage concentrated on support services

Today, most efforts focus on document production and public reception (chatbots, wayfinding). Automation of processing chains and decision support are progressing more slowly, requiring quality data and strengthened governance.

Vigilance on sensitive points

The main obstacles remain budgetary, related to compliance, and human (fear of replacement). Local authorities must pay particular attention to unregulated uses, potential biases in processing, environmental consistency, and maintain public acceptance through transparency.

A transformation that is being managed

The regions that are making the most progress have set a clear course, established governance, chosen priority use cases, secured access, and organized skills development. The question is no longer whether to deploy AI, but how to do so cleanly, effectively, and sustainably, making this tool a support for the public good rather than a risky shortcut for public services.

To learn more: reread why Generative AI is a major challenge for local authorities and discover Generative AI in legal practice.

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