Modellkarte
A Model Card is a structured document that provides comprehensive information about an künstliche Intelligenz (AI) model. It serves as a transparency tool, helping users understand the capabilities, limitations, and intended applications of the model. The concept was introduced to promote accountability and verantwortungsvolle KI use.
Typischerweise enthält eine Model Card mehrere wichtige Abschnitte:
- Modellübersicht: A brief description of the model, including its architecture, Trainingsdaten, and any relevant background information.
- Vorgesehene Verwendung: Information about the specific tasks or problems the model is designed to address, as well as potential users and scenarios.
- Leistungskennzahlen: Quantitative measures that evaluate the model’s accuracy, reliability, and fairness across different demographics or use cases.
- Einschränkungen: Acknowledgment of the model’s weaknesses, biases, and contexts where it may not perform well, helping users gauge its applicability.
- Ethische Überlegungen: Discussion of any ethical implications related to the model’s use, including potential harm or misuse.
By providing this information in a standardized format, Model Cards aim to facilitate informed decision-making among developers, researchers, and users of KI-Technologien. They are particularly important in sensitive areas like healthcare, finance, and criminal justice, where the implications of AI decisions can have significant real-world impacts.