KIModellen

KIModellen is a term used in North European contexts to describe a generalized framework for the development, evaluation, and governance of artificial intelligence (AI) models. The designation combines KI, the abbreviation for kunstig intelligens (artificial intelligence), with Modellen, indicating a model-centric approach. It is not a specific algorithm, but a conceptual reference point for structuring AI projects and comparing different models.

The model emphasizes modular architecture and lifecycle discipline. Typical components include a data ingestion and preprocessing layer, a feature store or data catalog, the core modeling component, and an evaluation and validation suite. Deployment, monitoring, and retraining processes are integrated to support reproducibility and accountability. The emphasis on modularity aids in reusability, version control, and traceability across iterations and teams.

Evaluation within KIModellen covers traditional performance metrics alongside aspects relevant to practical deployment, such as robustness, fairness, explainability, and security. It also highlights the importance of data provenance, bias assessment, and ongoing monitoring to detect drift and unintended consequences after deployment. Governance practices under the KIModellen framework address privacy, compliance with regulations, documentation, and risk management, ensuring decisions about model use are transparent and auditable.

In practice, KIModellen serves as a reference model for organizations seeking a standardized way to design and manage AI systems. It supports cross-project comparability and helps align technical work with ethical, legal, and organizational requirements.