The new Fraunhofer IKS self-service platform tells you if you can trust your artificial intelligence and to which extent. It enables you to optimize your model and confidently deploy your AI in safety-critical applications.
The report conducted by Fraunhofer IKS provides you with recommendations on how to improve your machine learning model to enable use cases for safety-critical applications.
Based on the tested data, our report
We are the Fraunhofer Institute for Cognitive Systems IKS and make AI safe for everyone. We introduce certainty measures into your AI solutions. Using various uncertainty and robustness metrics, Robuscope provides analysis and useful insights to upgrade performance of AI solutions.
We remove the black box from AI and help you understand where the models are failing. Robuscope provides extensive explanation regarding potential failure causes and in turn guides the developer towards robust AI solutions. Contact us.
We are the Fraunhofer Institute for Cognitive Systems IKS. We believe that cognitive cyber-physical systems will permeate every walk of life and have the potential to significantly improve health and well-being of society and the environment. For these benefits to be realized, these systems must be reliable, trustworthy and safe. Therefore, we research on trustworthy artifical intelligence, safety assurance and resilient software systems. One result of this research is Robuscope, that uses various robustness metrics to provide feedback on AI algorithms, helping developers and companies to optimize them.
Head of Business Development
Departement Head Dependable Perception & Imaging