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VERIFAI - A Step Towards Evaluating the Responsibility of AI-Systems

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2023

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Gesellschaft für Informatik e.V.

Zusammenfassung

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.

Beschreibung

Göllner, Sabrina; Tropmann-Frick, Marina (2023): VERIFAI - A Step Towards Evaluating the Responsibility of AI-Systems. BTW 2023. DOI: 10.18420/BTW2023-63. Bonn: Gesellschaft für Informatik e.V.. ISBN: 978-3-88579-725-8. pp. 933-941. Dresden, Germany. 06.-10. März 2023

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