aiQu - AI Quality Made in Germany: Standardization and certification of AI systems
The German Federal Government’s AI strategy, as well as the rapid dissemination and great complexity of AI systems, are presenting new algorithmic, technological and ethical challenges across all sectors which even the largest corporations have not yet been able to solve. Generic AI issues include robustness, understandability, performance, privacy and ethics. Many of these issues can be addressed by means of the structured standardization, analysis and certification of AI systems. The aim of this project is to develop quality and security standards for AI systems, as well as suitable open source tools which can serve as the basis of certification with a quality seal.
April to October 2019
- DIN e.V. (Consortium leader)
- Neurocat GmbH, TÜV Süd
- KW, University of Osnabrück
- TÜV Süd
The project is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) as part of its innovation competition “Künstliche Intelligenz als Treiber für volkswirtschaftlich relevante Ökosysteme” (AI as a driver for economically relevant ecosystems).