Enable Trust in AI through Testing
Florens Greßner, is a Mathematician with the focus on Statistics and Optimization. After diving into the abstracts of academic Mathematics he realized that real world applications, such as Machine Learning, suffer from the absence of profound mathematical understanding and a structured approach towards optimizing respective quality parameters.
At the age of 22 he co-founded neurocat to concentrate his efforts to pave the way for a safe and innovative future, by consulting the industry in risk assessment, robustness, and interpretability of AI systems. For 5 years he gained experience in AI Quality Consulting and the development of respective Test Methods and Strategies in several domains such as Automated Driving, Unmanned Aircraft, Chatbots, Voice Assistants and Virtual Sensors.
Test-Driven Development (TDD) has been introduced for mission-critical software systems and is religiously followed by software craftspeople. This keynote is about the benefits of TDD and how these principles should be reinvented in the development of data-driven applications like machine learning. Florens Gressner will showcase how data-driven development will become a craft using test methods in the field of robustness and explainability.