Responsible human machine interaction
AI still has a long way to go to avoid mistakes such as bias in facial recognition and accidents with self-driving cars. This development is most rapid if it is done in close cooperation with people. In use cases we work out our AI technology in practical situations.
Responsible decision-making between people and machines
We are currently investigating what is needed for responsible decision-making between humans and machines. There are four focus areas: responsible AI, explainable AI, co-learning and secure learning.
Our latest developments
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AI in training: FATE develops digital doctor's assistant
Can the predictive power of AI help with preventive care? In project FATE we train the digital doctor's assistant of the future.