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Cooperative Machine Intelligence for People-Aligned Safe Systems Intern

Yasmine Kaced

Yasmine Kaced is a Master's student in Artificial Intelligence and Data Science at the National Higher School of Artificial Intelligence (ENSIA), while also pursuing a parallel Master's degree in Management for Engineers at EHEC. She is currently a Research Intern at the Max Planck Institute for Intelligent Systems (MPI-IS) through the CaCTÜS program, where she is supervised by Sahar Abdelnabi and Ksenia Keplinger. Her research interests include large language models (LLMs), natural language processing (NLP), multilingual AI, speech technologies, and multi-agent systems. She enjoys building AI systems that bridge research and real-world applications, with a particular interest in making AI accessible across languages and cultures.
ELLIS Institute Tübingen gGmbH

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RESEARCH GROUPS AI & Mechanisms AI Safety and Alignment Algorithms and Society AutoML Computational Applied Mathematics & AI Lab Cooperative Machine Intelligence for People-Aligned Safe Systems Deep Models and Optimization Machine Learning in Science Robust Machine Learning Safety- and Efficiency- aligned Learning Science and Probabilistic Intelligence Wild, Efficient, and Innovative AI

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