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At the Institute for AI Safety and Security, we carry out cross-divisional AI research and development for all DLR fields: Aeronautics, Space, Transport, Energy, Security and Digitalisation. Our team is interdisciplinary and international, and in this film we report on what we are working on and why it is good and important for us to do so in terms of AI safety and security.
What drives us at the DLR Institute for AI Safety and Security
What drives us at the DLR Institute for AI Safety and Security
At the Institute for AI Safety and Security, we carry out cross-divisional AI research and development for all DLR fields: Aeronautics, Space, Transport, Energy, Security and Digitalisation. Our team is interdisciplinary and international, and in this film we report on what we are working on and why it is good and important for us to do so in terms of AI safety and security.
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At the Institute for AI Safety and Security, we research and develop AI-related methods, processes, algorithms, technologies and execution or system environments. We contribute to ensuring operational and attack security for AI-based solutions in ambitious application classes.
The Institute for AI Safety and Security introduces itself
The Institute for AI Safety and Security introduces itself
At the Institute for AI Safety and Security, we research and develop AI-related methods, processes, algorithms, technologies and execution or system environments. We contribute to ensuring operational and attack security for AI-based solutions in ambitious application classes.
Credit:
At the Institute for AI Safety and Security, we are also working on technologies for data sovereignty and privacy protection. One possibility is the compute-to-data approach - a so-called Privacy Enhancing Technology (PET), where the data remains in the hands of the user. A specific application has been developed by DeltaDAO in the Gaia-X 4 Future Mobility project group.
Data security through technology
Data security through technology
At the Institute for AI Safety and Security, we are also working on technologies for data sovereignty and privacy protection. One possibility is the compute-to-data approach - a so-called Privacy Enhancing Technology (PET), where the data remains in the hands of the user. A specific application has been developed by DeltaDAO in the Gaia-X 4 Future Mobility project group.
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