Fähigkeits-Ermittlung is a systematic approach used in the development of künstliche Intelligenz (AI) systems to identify and define the abilities or functionalities that the system should possess. This process is crucial for ensuring that KI-Systemen meet user needs and expectations, and it plays a vital role in the design und Entwicklungsphasen eines KI-Projekts.
Der Prozess der Fähigkeits-Ermittlung umfasst typischerweise verschiedene Techniken, einschließlich Interviews, Umfragen, Workshops und Beobachtungen, um Input von Stakeholdern wie Nutzern, Fachexperten und Projektförderern zu sammeln. Durch die Einbindung dieser Gruppen können Entwickler Einblicke in die spezifischen Aufgaben gewinnen, die die KI ausführen soll, den Kontext, in dem sie operieren wird, und die gewünschten Ergebnisse.
Furthermore, capability elicitation often incorporates methods such as user story mapping and requirements analysis to translate high-level goals into actionable specifications. This ensures that the AI system not only meets technical requirements but also aligns with user expectations and real-world application scenarios.
In summary, capability elicitation is an essential step in AI development that helps ensure the resulting system is relevant, effective, and user-friendly. By thoroughly understanding the capabilities needed, developers can create KI-Technologien that are better suited to address specific challenges and opportunities in various domains.