KIgestützte

KIgestützte is a German term for tools, processes, or decisions that are supported or augmented by artificial intelligence (Künstliche Intelligenz, KI). The term stresses augmentation of human capabilities rather than autonomous action and is used across industry, research, and policy to describe AI-enabled but human-supervised systems.

Typical applications include KIgestützte Entscheidungsunterstützung, KIgestützte Analyse, KIgestützte Bildgebung in der Medizin, KIgestützte Qualitätskontrolle und KIgestützte Prognosen. In healthcare, AI-assisted imaging and diagnostics can speed up interpretation; in finance, AI-assisted risk scoring and anomaly detection; in manufacturing, predictive maintenance; in logistics and marketing, demand forecasting and customer insights.

Benefits are improved speed, consistency, and scalability of data-driven decisions, with the potential for enhanced accuracy and efficiency. Limitations and risks include dependence on data quality, biases, opacity of algorithms, privacy concerns, and the need for appropriate human oversight and explainability.

Governance aspects focus on data governance, accountability, and auditable AI practices. The term does not have a single formal definition and its exact meaning varies by context, but it generally denotes AI-enabled support rather than full automation.