What if artificial intelligence helped solve international crimes? In any case, this is the objective of the European Roxanne project, a computer analysis program capable of cross-checking written, audio or video information. “A feat.”
To solve a crime, police officers analyze evidence by combining different sources of information such as phone calls, emails, written or voice messages, fingerprints or even interviews. But the amount of data can be enormous, especially when it comes to international crimes.
Efficient assistants
Coordinated by the Idiap research institute, the project aims to teach a computer to create reconciliations between data, the institute located in Martigny (VS) explains in a press release on Tuesday. Once finalized, “this tool will make it possible to map all the clues and to highlight the links of intensity and relevance between different information, a real feat”, tells Keystone-ATS the spokesperson for ldiap, Nicolas Filippov.
It is therefore not a question of replacing the investigators but of assisting them by prioritizing all the data available in sprawling cases. “They can then make the most interesting connections,” he adds.
Conclusive results
Researchers have developed a set of tools based on technologies such as machine learning and deep learning. To function, these technologies must learn on the basis of large amounts of training data related to the field, such as telephone conversations, anonymized emails or episodes of the American series “Experts”.
The goal is to test and validate the platform’s analytical capabilities developed in the project.
Nicolas Filippov, spokesperson for the idiap
A few days ago, around 80 participants gathered remotely for the first field test. And the first results from the algorithm are conclusive, according to the institute. Funded by the European Union and coordinated by Idiap, the Roxanne project brings together scientists, manufacturers and various police services from 16 countries.
For ethical and data protection reasons, the analysis platform is regularly checked. Two versions of this system should be made available to partners in 2021 and 2022.
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