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Explainable AI in EU Law: 3 Practical Use Cases

Jonas Wacker
Team AI Development
Prof. Dr. Elena Dubovitskaya

What’s it about?
Explainable AI (XAI) is key to trustworthy, safe, and compliant artificial intelligence. But how can companies leverage XAI to reliably meet regulatory requirements such as the AI Act or the GDPR?
Our whitepaper explores the practical potential of explainable AI. Created in collaboration with Elena Dubovitskaya, a leading expert in EU law and XAI, it shows how transparency in AI systems not only ensures legal compliance but also creates strategic value.
In the whitepaper, we cover:
- The fundamentals of Explainable AI and its legal relevance
- Three use cases focused on compliance, transparency, and liability reduction
- Practical examples from HR, finance, and medical technology
- How XAI fosters trust, acceptance, and product safety
Discover how companies can use explainable AI to mitigate risks, gain regulatory confidence, and strengthen their capacity for innovation.