Logo des Repositoriums

Auflistung nach Schlagwort "Privacy-preserving AI"

1 - 1 von 1
  • Konferenzbeitrag
    VERIFAI - A Step Towards Evaluating the Responsibility of AI-Systems
    (BTW 2023, 2023) Göllner, Sabrina; Tropmann-Frick, Marina
    This work represents the first step towards a unified framework for evaluating an AI system's responsibility by building a prototype application.The python based web-application uses several libraries for testing the fairness, robustness, privacy, and explainability of a machine-learning model as well as the dataset which was used for training the model.The workflow of the prototype is tested and described using images of a healthcare dataset since healthcare represents an area where automatic decisions affect decisions about human lives, and building responsible AI in this area is therefore indispensable.