Explainable Artificial Intelligence: Establishing comprehensible AI (ExplAIn)

From image recognition to virtual assistants, machine learning (ML) is already being used by companies in a variety of ways. The added value: production processes can be adapted autonomously or even completely pre-planned and regulated using machine learning methods. However, there are also companies that have no trust in artificial intelligence due to situational errors, a lack of traceability and a lack of influence. The reservations listed are not weaknesses of artificial intelligence, but weaknesses in the control of the application. In many cases, there is a lack of implementable control instances that make existing and new ML systems more comprehensible and secure.