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How AI helped track down the Baader-Meinhof terrorist

By combining traditional investigative journalism and AI technology, the German public broadcaster ARD tracked down a Red Army Faction terrorist who had been in hiding for more than 30 years. Daniela Klette had been active in the RAF (also known as the Baader Meinhof Group) in the 1980s but had gone underground since then. According to German police, she was one of three surviving RAF members on the run.

The editorial team of ARDs true crime podcast "Legion: Most Wanted" set out to find Klette after a tip from a listener. However, it was only after they received help from Canadian Bellingcat journalist Michael Colborne, who used controversial facial recognition technology, that they were able to locate Klette.

Michael will join the Nordic Media Days along with experienced investigative journalist Sylke Gruhnwald to discuss how the podcast editorial team combined open sources, in-depth interviews, thorough research, and AI technology in the search for Daniela Klette.

Time and place:

  • Friday, 10:00am–10:40am
  • Dovregubben
Skjermbilde 2024 03 18 kl 10 42 31

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