AI Competencies for Companies: Definition, Taxonomy and Regulatory Classification

Abstract Every authority, organization, and company worldwide is currently facing the challenge of determining which applications of artificial intelligence (AI) are meaningful. This article lists application examples to demonstrate the opportunities. It also explains the difference between GPAI models and GPAI systems. The risk classification follows the risk classes defined in the AI Act in Europe. To ensure trustworthy application and risk limitation, an overview of the most important international standards is provided. Based on the international concept of competence, "AI competencies" are defined and formulated along the competence levels according to BLOOM's taxonomy. These AI competencies are assigned to different functional roles in organizations and companies. Using six typical application examples—from simple users to AI system manufacturers—the required AI competencies are mapped to both international standards and the risk classes from the European AI Act. Finally, eight recommendations for AI implementation are provided that are useful for any organization or company.