MMM-Fair, the open-source toolkit for fairness analysis in AI systems, was recently featured in the German tech magazine IT Boltwise.
The Artificial Intelligence & Machine Learning (AIML) research group, led by Prof. Eirini Ntoutsi, focuses on developing intelligent algorithms to address real-world data challenges and contribute to societal improvement. Our research is guided by three fundamental questions: i) How can we develop intelligent machines for the real world? ii) What kind of intelligence are we striving to develop? And, iii) Can AI exhibit creativity?
These questions guide our research into cutting-edge advancements in artificial intelligence and machine learning. Our ongoing research includes:
- Continuous learning over evolving data and data streams.
- Responsible Artificial Intelligence with a focus on fairness-aware machine learning and explainable AI.
- Generative AI for improving data quality for AI and generating new data and solutions.
We apply our methods across various sectors, including education, social networks, banking, agriculture, manufacturing, and engineering. Our group is part of the research institute CODE for Cybersecurity and Smart Data and the Department of Computer Science at the Universität der Bundeswehr München (UniBwM). Previously, we worked at the Freien Universität Berlin and Leibniz Universität Hannover/ L3S Research Center.
