According to a recent study by McKinsey, the economic potential of AI is estimated at around 3 billion. AI can become a game changer due to almost unlimited application possibilities in the corporate and social context. On the other hand, AI is often not used due to a lack of transparency and traceability. In fact, according to a recent study by the Bertelsmann Foundation, more than three quarters of respondents in Germany reject fully automated decisions. It is therefore essential, especially for companies that use intelligent systems, to increase their acceptance among their customers and consumers. In the Explainable Artificial Intelligence (XAI) topic area, research is therefore being conducted in particular on the comprehensibility of AI decisions from the user's perspective. The focus is on the following topics:

• Methods for the comprehensibility of AI decisions
• User-centered design of (X)AI applications

#XAI #Trust #Explainability #Responsibility #Design Science #AI Made in Germany

Projects

• XAI Demonstrator

• Personal Inflation Calculator

• XAI Studio
• Fairness and Bias of AI
• Guess the city
• Skill Compass
• XPERT
• XAI-as-a-Service
• X-Loop