I'm a forensic data scientist at the Netherlands Forensic Institute. In our Forensic Big Data Analytics Team, we are committed to developing, implementing, and maintaining advanced artificial intelligence and innovative technologies to optimize detection, analysis, and evidence provision in criminal investigations. Our goal is to increase the accuracy, efficiency, and reliability of forensic analyses, leading to a more just and secure society.
At the Netherlands Forensic Institute (NFI), we've developed a Python-based deep learning model to spot life-threatening messages in lawfully intercepted communication data, like those from the infamous chat service Encrochat.
Thanks to the application of our model in collaboration with the Dutch Police, dozens of potential victims of violent crimes, including murder, serious assault, and kidnapping, have been warned and safeguarded. In this talk, we'll dive into the development, implementation, and success of our deep learning model in the fight against violent criminal activities. We'll also tackle the risks tied to using deep learning for these cases and discuss the precautions we took to ensure responsible and accurate use.