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Privacy-preserving AI

Responsible Artificial Intelligence: A Structured Literature Review

Our research endeavors to advance the concept of responsible artificial intelligence (AI), a topic of increasing importance within EU policy discussions. The EU has recently issued several publications emphasizing the necessity of trust in AI, underscoring the dual nature of… Read More »Responsible Artificial Intelligence: A Structured Literature Review

Bridging the Gap between Theory and Practice: Towards Responsible AI Evaluation

The growing integration of artificial intelligence (AI) in diverse sectors underscores the need for comprehensive and standardized approaches to ensure AI responsibility. However, the absence of a holistic framework to evaluate the fairness, privacy-preserving, secure, explainable, and human-centered facets of… Read More »Bridging the Gap between Theory and Practice: Towards Responsible AI Evaluation

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

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… Read More »VERIFAI – A Step Towards Evaluating the Responsibility of AI-Systems