In practice, as Alejandro Jofré, academic coordinator of the SITIA project, explained to our media, “it is an ecosystem of technological innovation that articulates surveillance solutions, artificial intelligence and data analysis to strengthen public safety”.

“Its focus is on the detection and prevention of crime through the integration of cameras, sensors and data sources from public and private institutions, prioritizing three critical areas: vehicles with a warrant, missing persons and fugitives,” the academic continued.

Lorena Donoso, who is also part of the SITIA project team, emphasizes that the initiative through AI could “enable the activation of an integrated citizen teleprotection system that would take advantage of the surveillance camera systems installed on public roads”.

This project began to be implemented in more than 14 municipalities in the Metropolitan Region in 2024, according to Alejandro Jofré. “In 2025 a regional expansion is projected, including the integration of 4,000 additional cameras and new AI use cases,” he assured.

The challenges of its implementation

What happens to the data collected, what about possible biases, when and how the technologies should be used and the ethics behind their use are also part of the debate. Establishing clear governance around the new technologies is critical, experts say.

There is a tremendous opportunity as a country to be able to generate contributions to the welfare of society from artificial intelligence. The important thing is to safeguard standards, so that we do not end up being slaves of technologies, but that technologies contribute to people’s welfare”, said Lorena Donoso.

Alejandro Jofré, points to the relevance of the personal data law. “It is crucial to make an even greater leap in the applicability of responsible AI. In that sense, we have to advance more effectively in the regulatory frameworks for the responsible use of AI. Today we have local experts who can contribute a lot to this development”, he said.