
How can artificial intelligence (AI) become comprehensible for industrial processes? This question is being investigated by the EU-funded project XMANAI (Explainable Manufacturing Artificial Intelligence). Fraunhofer FOKUS is participating as a scientific partner for real-time data management.
AI technologies are considered to be a major driver of innovation for society, science and economy. In industrial production, AI has the potential to make manufacturing faster, better and cheaper. However, nowadays self-learning systems are untransparent and not sufficiently comprehensible for stakeholders from industry and business. The EU-funded XMANAI project aims to contribute to a movement of AI systems from the “Black Box” to the “White Box”. The aim is to make machine learning explainable and to focus on both systems and data. The XMANAI data platform will provide important approaches to solving this problem.