Papers must be submitted through OpenReview:
https://openreview.net/group?id=ai-days.swiss-ai-center.ch/Swiss_AI_Days/2026/Conference

Use the Official LaTeX Overleaf template:
https://www.overleaf.com/latex/templates/swiss-ai-days-2026-template/kpxmnwpxdmff


Submission Guidelines
=====================

Format Requirements
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•Submissions must be in PDF format.
•If your paper has appendices, submit the appendix together with the main body and the references as a single file. Reviewers will not look for appendices as a separate PDF file.
•Total file size may not exceed 10MB.


Page Limits
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All page limits exclude references and appendices. The space for the latter is not limited in pages.

•Long papers: 8 pages (+ 1 extra page for final version to respond to reviews)
•Short papers: 4 pages (+ 1 extra page for final version to respond to reviews)
•Industry track papers: 4 pages (+ 1 extra page for final version). Title must start with "Industry Track:"
•Brief announcements: 2 pages. Original texts sharing insights from findings published in other peer-reviewed conferences, in a language relevant to Swiss AI Days attendees. Brief announcements are not anonymized.

Formatting Guidelines
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•Do not include author information or acknowledgments in your initial submission.
•Place figure captions under the figure (omit titles from inside the graphic file). Place table captions over the table.
•Do not alter the style template; do not compress the paper format by reducing vertical spaces.
•Keep your abstract brief and self-contained, one paragraph and roughly 4–6 sentences.
•The title should have content words capitalized.
•If your paper claims a significant contribution with code artifacts, upload anonymized code to an anonymous git repository or anonymous.4open.science and link to it from within the paper.


Topics of Interest
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We welcome submissions on all AI and ML topics, including but not limited to:
- Ethical AI & Explainable AI
- Privacy & Security in AI
- Sustainable AI
- Industry 4.0 & AI
- Healthcare & MedTech AI
- Edge & Distributed AI
- Multimodal AI & GenAI/LLM
- AI Maturity in SMEs