Investigative Journalists Use AI To Track Fugitive Red Army Fact Members

Daniela Klette (65 years), a member of the Red Army Faction, was arrested for AI assistance. (photo: x @RAF_Historie)

JAKARTA - On Monday, February 26, Daniela Klette (65 years), a member of the well-known left militant group, the Red Army Faction, was arrested at her apartment in Berlin. She was arrested on suspicion of her involvement in a series of crimes, including robbery and attempted murder, which was carried out between 1999 and 2016 to finance her underground life.

This shocking news came to the spotlight as investigative journalists used artificial intelligence tools to track Klette's whereabouts long before German police announced his arrest. According to reports, the journalist used a PimEyes image search tool and found a photo of a woman called "Claudia Ivone", which is likely Klette, which is active in an Afro-Brazil circle in Berlin and a Brazilian martial dance practitioner, capoeira.

The journalists' efforts were then forwarded to law enforcement authorities, who later confirmed that they were tracking Klette again thanks to information received from the public in November.

Daniela Behens, interior minister of Lower Saxony state, where multiple Klette crimes have been committed, praised the arrest as a major breakthrough and the result of the hard work of the police and prosecutors.

However, the arrest also highlighted the failure of the German police and security services in several political investigations. Police defenders say strict privacy laws limit their ability to use artificial intelligence tools, such as those used by investigative journalists in this case.

Overall, Klette's arrest shows how technological developments, particularly artificial intelligence, can make a major contribution to solving difficult criminal cases, while raising questions about the balance between individual privacy and law enforcement needs.