Towards a democratic AI-based decision supportsystem to improve decision making in complex eco systems

Decisionmaking in complex production environments is considered challenging as the information and knowledge requirements need to be observed constantly since the ecosystem they operate within is continuously changing. Artificial intelligence (AI) act as an infrastructure to tackle these needs and establish the flexibility required by decision makers. Such novel ways to support the decision makers are in scope of the work presented in this contribution, more specifically the Democratic AI-based Decision Support System (DAIDSS) that is designed and implemented in the EUfunded FAIRWork project. Decentralization and democratization of decision processes are in scope, that considers on one hand the information needs of human actors and on the other hand formalisation requirements for technical actors / automation. The FAIRWork project proposes a modelbased approach that builds upon existing modelling techniques to formally describe the decision processes and enriches those with AI services to elevate the utility during the creation and use of conceptual models.