Exploring the Adaptation of LLM and the Formation of AI Governance at European XFEL

Not scheduled
20m
80/1-001 - Globe of Science and Innovation - 1st Floor (CERN)

80/1-001 - Globe of Science and Innovation - 1st Floor

CERN

Esplanade des Particules 1, 1211 Meyrin, Switzerland
60
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Poster LLMs and AI Assistants Poster session

Speaker

Mahmoud Ajami (European XFEL GmbH)

Description

At the European XFEL, Large Language Models provide opportunities to facilitate technical and administrative workflows, with applications such as chatbots for technical support, travel assistance and coding assistance. A task force was formed to evaluate these applications and to develop a European XFEL AI policy, focusing on technical assessment, framework creation, and ensuring ethical and regulatory compliance to guarantee safe adaptation and effective governance. Following a socio-technical perspective, this work utilizes grounded theory and the Gioia method to explore and analyze decision-making, learning outcomes, storytelling, and the unique considerations of implementing such technology in a research setting like European XFEL. This contribution also elaborates on task force members' future speculations regarding this technology at the European XFEL, and provides input for other organizations considering similar technologies.

Author

Mahmoud Ajami (European XFEL GmbH)

Co-authors

Luca Gelisio (European XFEL GmbH) Mr Paul Drews

Presentation materials

There are no materials yet.