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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Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
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Best Thesis Award for Sohir Maskey
Former MCML Junior Member Sohir Maskey received the Best Thesis Award of the DFG Priority Programme 2298 for his PhD on graph neural networks.
