25.07.2024
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Daniel Rückert About the Suitability of Chatbots in Hospitals
TUM Research
This short article focuses on the current work of MCML Director Daniel Rückert and his team, who studied the suitability of AI chatbots in hospitals.
While seeing potential in certain areas, the team concluded that chatbots would currently put patients' lives at risk. To minimize this risk, the scientists developed a method to test the reliability of future chatbots.
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Explaining AI Decisions: Shapley Values Enable Smart Exosuits
AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.
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03.11.2025
Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung
Julian Rodemann worked with Harvard on interpretable algorithms for “Back Exosuits,” improving human–machine interaction.
02.11.2025
MCML at EMNLP 2025
MCML researchers are represented with 39 papers at EMNLP 2025 (18 Main, 13 Findings, and 8 Workshops).
