From vision to practice: bringing AI safety and security to life
DZ UAB as a guest at the Ulm site
Artificial intelligence, Industry 4.0 and the Internet of Things - technologies that are profoundly changing work and economic processes. But how can SMEs benefit from these developments and how can digitalisation be designed securely and effectively? These questions were the focus of the "Digitalmacher Hautnah" event series, organised by the Ulm | Alb-Donau | Biberach | Neu-Ulm Digitalisation Centre. On 04 December, the DLR Institute for AI Safety and Security hosted this inspiring event at its site in Ulm.
Dr Michael Karl, head of the research area "Safety-Critical Data Infrastructures", opened the event with an insight into the challenges and opportunities of secure AI systems. His explanations on topics such as data sovereignty, transparency and trustworthy ecosystems created the theoretical basis, which was further deepened by the subsequent presentation by Dr Elena Hoemann. She used specific application examples to show how the safety-by-design methodology is implemented at the institute in order to develop safe and reliable AI systems.
A particular highlight were the live demonstrations, which familiarised participants with the institute's research in three successive stages:
- Data ecosystems as the basis for AI applications
- Human-AI interaction as a central field of research
- Innovative computing methods as a future prospect
These demonstrations clearly showed how research findings can be transferred directly into practice - be it for safe AI in production, efficient logistics solutions or standard-compliant applications in mobility. The combination of theoretical impulses and practical applications illustrated the coherence and application-orientation of the work of the DLR Institute for AI Safety and Security.
The event made it clear how important interdisciplinary collaboration and practical research are for the digitalisation and competitiveness of SMEs. The lively dialogue with the participants showed once again that secure AI is not just a technological challenge, but plays a central role in sustainable and trustworthy digitalisation.