Traditional categories of discrimination are not enough: ethicists at the University of Passau have developed policy recommendations on data protection.
A crime scene is often accessible only for a short period of time. During that time, all relevant evidence must be documented quickly, and even small details can prove crucial. Researchers at the Technical University of Munich (TUM) and the Bavarian State Criminal Police Office (BLKA) are working together to fundamentally transform this process. Using artificial intelligence, investigators will be able to interact with virtual representations of crime scenes in the future.
AI models – for example, those used for cancer detection – are trained on patients’ health data. Even the mere fact that personal data has been incorporated into a model can have negative consequences for those affected if this information falls into the wrong hands. In “Nature”, a research team now shows that, using the right methods, this sensitive information can be extracted from models far more effectively than previously thought.
An interdisciplinary team led by ethicist Professor Karoline Reinhardt and computational linguist Professor Annette Hautli-Janisz from the University of Passau is investigating a phenomenon in AI hallucinations that has received little attention to date: when large language models produce moral fallacies that deviate significantly from human values.
