Advancements within artificial intelligence (AI) enable organisations to reformulate strategies for exploiting data in order to refine their business models, make better decisions and maintain a competitive advantage. We recognise the technical advantages of AI. However, our view is that the technical perspective as a base for decision-making is necessary but insufficient. Several studies in human science report that essential human knowledge and competencies that affect decision making are not represented in AI systems. Based on this observation, we have developed design principles for developing decision-support systems (DSS) that combine human intelligence (HI) with AI. The design principles are: design for amplified decision-making, design for unbiased decision-making and design for human and AI learning. The design principles constitute the scientific contribution to the emergent field of Human-Centred AI. The contribution to practice consists of a DSS (a digital prototype) that supports the combination of HI and AI.
Cronholm, Stefan and Göbel, Hannes, "DESIGN PRINCIPLES FOR HUMAN-CENTRED AI" (2022). ECIS 2022 Research Papers. 32.
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