This year’s workshop of Swedish AI Society (SAIS) will take place at Halmstad University on 16-17 June 2025.

SAIS workshops aim to bring together researchers and practitioners from the field of Artificial Intelligence to present and discuss ongoing work and future directions for AI. They provide a forum for networking among researchers as well as building links with related research fields, practitioners and businesses.

Important Dates

Attendees

Workshop Dates 2025-06-16 and 2025-06-17
Registration Open 2025-05-01
Registration Deadline 2025-06-09

Authors

Submission Site Opening 2025-03-10
Submission Deadline 2025-04-10
Author Notification 2025-05-05
Camera-Ready Submission 2025-05-15

Submission

CMT submission link will be coming shortly

Instructions for authors on how to submit a paper and a link for Creating a CMT account

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support

Invited Speakers

Kalle Åström Kalle Åström, Professor in Mathematics and Computer Vision at Lund University.

Title: AI Lund and Advances in Feature-Metric Learning for Vision and Audio

Abstract: In this talk, I will present the AI Lund network at Lund University and discuss recent advancements in feature-metric learning for vision and audio, conducted within the Computer Vision and Machine Learning division of our department. AI Lund is an open network that fosters teaching, research, and collaboration across disciplines. I will outline its development since 2018 and highlight key initiatives. While deep learning has significantly advanced recognition and generative tasks in images and audio, its application to mapping and positioning remains a challenge. However, recent progress in feature-metric learning has proven highly effective for feature extraction and geometric estimation. I will present key concepts in this new development and showcase examples of recent and ongoing research that push the boundaries of this field.

Bio: Kalle Åström is a professor at the Centre for Mathematical Sciences at Lund University. His research spans from basic research in algebraic geometry, applied mathematical research and dissemination in industry and society as a whole. His master’s thesis on autonomous vehicles was awarded first prize in Innovation Cup, 1991. The dissertation from 1996, won prize as best Nordic dissertation in machine learning and image analysis. He is the founder of several companies, Neuromathic, Spiideo, Cognimatics and Decuma, where Decuma won the EU’s “IST grand prize” in 2005. He has been co-editor for IEEE transaction on Pattern Analysis and Machine Intelligence, and was the track chair for International Conference on Pattern Recognition in 2014. He has written about 230 reviewed scientific articles in scientific journals and conferences and has been main or co-supervisor for 30 PhD students. Currently he is coordinating the AI Lund network at Lund University.

Benyou Wang Benyou Wang, Assistant Professor at The Chinese University of Hong Kong, Shenzhen.

Title: Towards Trustworthy Medical Large Language Models

Abstract: Recently, OpenAI’s ChatGPT and various open-source community models, such as LLaMA 3, have significantly advanced the development of AI applications. In the medical field, both proprietary and open-source models hold great potential. However, when it comes to solving real-world medical problems, there is still a “last mile” to cover. In this Speech, we will introduce our team’s development of the medical large language model, HuatuoGPT, and its multilingual and multimodal extensions, the Apollo series. We will also discuss the technical solutions for HuatuoGPT-o1, which aim to enhance the performance and interpretability of large language models, particularly in the context of longer diagnostic reasoning chains. Finally, we will look ahead to the future development of medical LLMs. Specifically, we will explore the potential of using AIGC technology to create a large number of patient agents to train both human and AI doctors. By doing so, we can accumulate real patient needs and doctor feedback, ultimately working towards the development of generalist medical artificial intelligence (GMAI).

Bio: Benyou Wang is an Assistant Professor and Presidential Young Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He has received numerous awards, including the SIGIR 2017 Best Paper Nomination, NAACL 2019 Best Explainable NLP Paper, NLPCC 2022 Best Paper, and the EU Marie Curie Fellowship. He also served as the Website Chair for the EMNLP 2023 and the Publicity Chair for NLPCC 2023. His team has developed the medical LLM HuatuoGPT, the multilingual medical LLM Apollo, and the Arabic LLM AceGPT. Photo:

Markus Lingman Markus Lingman (to be confirmed), Chief Strategy Officer at Halland hospital group and adj. professor at Halmstad University information drive care, AI Swede of the year 2020.









Call for Papers

In the last years, research on Artificial Intelligence has made both academia and industry to take a more active role in engaging with the general public. The immense success of recent results appears almost endless, but they are not without faults or concerns. Addressing the role these technologies can have in human society is therefore important. The 2025 SAIS workshop, organised by the Swedish AI Society, invites researchers and industry practitioners working on all facets of AI to share their research.

Contributions are welcome from all areas of Artificial Intelligence, and topics of interest include:

  • AI theory and applications
  • AI ethics and regulations
  • Trustworthy AI
  • Human-centred AI
  • Human-in-the-loop AI
  • Case studies of AI
  • Knowledge representation
  • Hybrid and neurosymbolic AI
  • Machine learning
  • Complex systems and swarm intelligence
  • Cognitive robotics and intelligent agents
  • Planning and Scheduling
  • Natural Language Processing
  • Computer Vision
  • Search Algorithms
  • Multi-Agent-Systems

For the scientific program of the conference, we invite five types of contributions:

  • 6-10 pages full paper describing original contributions that are not under review at another venue. This category will be published in SAIS 2025 proceedings at CEUR-WS, unless the authors opt-out.
  • 3-5 pages general descriptions of current and ongoing projects, intended to disseminate work-in-progress results and undeveloped but interesting ideas; the goals is promoting awareness of research taking place within Sweden, and building up new collaborations. This category will not be included in the proceedings, only presented at the event.
  • 2 pages extended abstracts of previously published papers in prestigious AI journals and conferences (within the last 12 months), intended to disseminate important ideas within Sweden. This category will not be included in the proceedings, only presented at the event.
  • up to 2 pages descriptions of AI industrial applications and/or demonstrating use cases that leverage machine learning and AI techniques in a real-world setting. At least one author should be from industry. This category will not be included in the proceedings, only presented at the event.
  • 2 pages extended abstract describing ongoing PhD projects (the first author must be a PhD student) as part of Doctoral Consortium, intended to gather feedback on problem statement and research questions, motivation, suggestions for new approaches, etc. This category will not be included in the proceedings, only presented at the event.
  • until one week before the conference, we will also accept last-minute poster submissions of any AI-related content that would be of interest to workshop participants (submissions consisting of 0.5-1 page description will be continuously evaluated be Programme Committee members).

All submissions will be peer-reviewed by the conference program committee and accepted contributions will be part of workshop programme as oral presentations, practical demonstrations or posters.

Submission site will open on 2025-03-01.

Registration

Online registration for authors and participants will open on 2025-05-01. Registration fee has not yet been decided, but we expect to keep it on par with last years, in the 2000-3000 SEK range. Registration will include coffee, lunches, and conference dinner.

Payment information:

Organisationsnummer: 202100-3203
VAT-nr: SE202100320301
Bankgiro: 5328-2414

Bank information:

Danske Bank Sverige
Box 7523
SE-103 92 Stockholm
IBAN-nr: SE4612000000012810112657
SWIFT-adress: DABASESX

Activity number:

Activity number when making a payment: 960477. Please include also your full name.

For exceptions or prices including VAT, please send an email to Jessika Rosenberg: jessika.rosenberg@hh.se

Conference Programme

The workshop is planned to start around 9:00 on Monday, 16th of June 2025 and to end late afternoon, around 17:00, on Tuesday 17th of June 2025.

We are also planning to organise Industrial Trustworthy AI Day, co-located with SAIS 2025, on Wednesday, 18th of June 2025.

Detailed programme will appear here once it is decided.

Venue and Accommodation

SAIS 2025 workshop will be hosted at Center for Applied Intelligent Systems Research (CAISR), School of Information Technology, Halmstad University, Halmstad, Sweden. Venue location on Google Maps.

Organizing Committee

Slawomir Nowaczyk General Chair
Thorsteinn Rögnvaldsson General Chair
Greg Nalepa Program Chair
Anna Vettoruzzo Program Chair
Sepideh Pashami Industry Liaison
Carlos Silla Publicity Chair
Marlena Nowaczyk Local Chair
Stefan Byttner Keynote Chair
Camilla Soto Logistics Chair

Program Committee

To be decided…

Partners

Halmstad University

SAIS