Reliable AI: Robust – Explainable – Measurable

© Fraunhofer IPA

Flawed AI systems with incorrect output can cause serious errors and generate huge costs. In addition, safety-critical AI systems are subject to strict regulation and monitoring in the form of the EU AI Act. We can help you to meet these requirements, but also to optimize your AI systems and strengthen your competitive position, while you will also increase your customers’ trust in your products and services.
 

Value proposition

Maximize the potential of your AI systems by quantifying uncertainty and boosting reliability through targeted technological verification and by identifying errors, bias, leakage and shortcuts.
 

Investment and scope of services

For an investment starting from 20,000 euros, you will receive the following services:

  • Reliable KI: Technological review of an AI application to determine uncertainty

Building on this, we will be delighted to support you with the following services:

  • Data-centric AI: Tracing model properties back to training data
  • XAI for classification and regression models: Implementation of local and global explainability approaches
  • XAI for object detection models: Implementation of explainability approaches
  • Concept for reliable AI: Concept development for systematic application of explainability in a defined AI application

If you are questioning the decisions made by the your AI systems, or you are operating or planning to operate error-prone or safety-critical AI systems, contact us now for an initial discussion.