08.07.2025

Highlights From the MCML Munich AI Day 2025

A Short Recap

Opening and Keynotes
The day began with a welcome by moderator Eva Schulz, followed by a series of high-caliber keynote talks:

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Julia Schnabel (MCML / TUM) opened with a presentation on the role of AI in precision radiology, highlighting how machine learning supports radiologists in detecting rare and early-stage diseases.

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Tina Eliassi-Rad (Northeastern University) explored the epistemological challenges of large language models in her keynote “The Trilemma of Truth in LLMs,” introducing a new approach, sAwMIL, for evaluating factuality and uncertainty in AI outputs.

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Neil Lawrence (University of Cambridge) offered a philosophical and technical reflection on human uniqueness in the age of AI, proposing the concept of the “Atomic Human” to better understand the human-machine relationship.

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Björn Ommer (MCML / LMU) concluded the keynote series with insights into how generative AI is reshaping the role of intelligence and creativity in future technologies.

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Poster Sessions and Networking
Throughout the afternoon, attendees engaged with researchers during the poster sessions—held as part of the ELLIS Pre-ICML 2025 Fest—over cold drinks and coffee breaks, fostering exchange across disciplines and sectors.

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Panel Discussion
The program finished in a panel titled “LLMs in Scientific Practice and the Social Consequences,” featuring Mennatallah El-Assady, Tina Eliassi-Rad, Neil Lawrence, and Daniel Cremers. The discussion explored both opportunities and risks associated with integrating large language models into scientific workflows and public life, emphasizing the need for transparency, governance, and cross-disciplinary collaboration.

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Conclusion and Reception
The event closed with a networking reception, providing a relaxed setting for conversation and community-building.

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The MCML Munich AI Day 2025 highlighted not only the rapid advancements in AI research but also the importance of reflecting on its societal impact. The event successfully created a space where science met critical public discourse.

 

Some impressions

© all images: MCML

Photos by Süleyman Siki

#event #mcml

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