Rapid Prototyping

AI systems are becoming increasingly intelligent and better able to perform tasks with little or no support from humans. However, an increase of behavior complexity has resulted in a decrease in transparency: systems that perform well but are unable to explain their outputs. The field of eXplainable AI (XAI) studies and develops methods and techniques to equip intelligent systems with the ability to explain their behavior in a way that facilitates understanding and trust in a human. This leads to more effective human-AI teamwork.

Example

Within our team we have ample experience with rapid prototyping, to quickly bring an idea to a concrete prototype. We develop and have experience with the right tooling as well as the scientific know-how of how such a prototype should look like. A concrete example is the MATRX software, a software package that allows the rapid development of a new intelligent system prototype to allow users to experience this system before it is actually build. Depending on your needs, MATRX can function as a stand-alone software package simulating both the system and interface part, or you can combine it with other tools to for things as virtual reality or speech recognition. For more information see the website matrx-software.com or the repository on Github on which the open-source code is hosted.