Call for participation: SCAI’24 - The 14th Scandinavian Conference on AI. 10-11th June, 2024. Jönköping, Sweden

*(apologies for possible cross-posting)*Call for Participation
*SCAI’24* - The 14th Scandinavian Conference on AI

10-11th June, Jönköping, Sweden

Event website: SCAI Symposium 2024
<https://ju.se/samarbeta/event-och-konferenser/konferens/scai-symposium-2024/>
-- Registration deadline: May 30th --

You are heartily invited to participate in the 14th Scandinavian Conference
on Artificial Intelligence!

Theme: AI for a better society

In the last years, research on Artificial Intelligence in academia and
industry has taken 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 14th Scandinavian
Conference on AI (SCAI’24) invites researchers and industry practitioners
interested in learning more about AI to participate in the
conference. Organised as a joint venture by the Swedish AI Society (SAIS)
and Norwegian AI Society (NAIS), the event invites researchers from all
over the world to participate in ongoing discussions.


Venue
The event will take place June 10-11, 2024, in the picturesque, yet modern
Swedish city of Jönköping. It is a middle-sized city beautifully tucked in
between deep Swedish forests, mirror-clear lakes and flowing hills. Join us
over a “*kanelbulle* “(cinnamon roll) to discuss the latest in AI research
and network in the social program while overlooking the sun set over the
crystal-clear water of Vättern (Sweden’s second-largest lake). Making the
best of the beautiful scenery, the conference dinner will take place at the
medieval-style inn "Gyllene Uttern" (The Golden Otter) which offers a
unique perspective of the sun setting over Vättern.

Important Dates

   - Registration deadline: May 30
   - Conference: June 10-11


Keynote Speakers

In addition to the scientific and social program, SCAI has four keynote
speakers all capturing different aspects of the conference theme: AI for a
better society. The keynotes and their talks are presented below.

Virginia Dignum
Professor of Computer Science at Umeå University.

*Title:* Beyond the AI hype: Balancing Innovation and Social Responsibility
*Abstract*: AI can extend human capabilities but requires addressing
challenges in education, jobs, and biases. Taking a responsible approach
involves understanding AI's nature, design choices, societal role, and
ethical considerations. Recent AI developments, including foundational
models, transformer models, generative models, and large language models
(LLMs), raise questions about whether they are changing the paradigm of AI,
and about the responsibility of those that are developing and deploying AI
systems. In all these developments, is vital to understand that AI is not
an autonomous entity but rather dependent on human responsibility and
decision-making.

In this talk, I will further discuss the need for a responsible approach to
AI that emphasize trust, cooperation, and the common good. Taking
responsibility involves regulation, governance, and awareness. Ethics and
dilemmas are ongoing considerations but require understanding that
trade-offs must be made and that decision processes are always contextual.
Taking responsibility requires designing AI systems with values in mind,
implementing regulations, governance, monitoring, agreements, and norms.
Rather than viewing regulation as a constraint, it should be seen as a
stepping stone for innovation, ensuring public acceptance, driving
transformation, and promoting business differentiation. Responsible
Artificial Intelligence (AI) is not an option but the only possible way to
go forward in AI.

Timo Minssen
Director at JUR Centre for Advanced Studies in Biomedical Innovation Law

*Title: *Navigating the EU AI Act in a complex regulatory eco-system:
Implications for Medical Devices
*Abstract: *The newly adopted EU AI Act represents a pivotal milestone that
heralds a new era of AI regulation across industries. With its broad
territorial scope and applicability, this comprehensive legislation
establishes stringent requirements for AI systems. This talk is based on a
collaborative article analyzing the AI Act’s impact on digital medical
products such as medical devices. Timo Minssen will address several
pressing questions, such as: How does the AI Act apply to AI/ML-enabled
medical devices? How are they classified? What are the compliance
requirements? And what are the obligations of ‘providers’ of these AI
systems? And what will be AI Act’s broader implications for the future of
medical device innovation.

Shalom Lappin
Professor at Queen Mary University of London

*Title: **The Deep Learning Revolution in AI: Dan**gers Real and Imagined*

*Abstract:* The emergence of transformers that drive Large Language Models
has produced a revolution in the capacities of AI systems. Many of these
systems can now handle a variety of cognitively interesting tasks at or
above human levels of performance. In this talk I will briefly review the
major technical breakthroughs and architectural changes that have given
rise to transformers. I will then look at some of the dangers that they
pose. These need to be carefully described and distinguished from some of
the ungrounded anxieties that have been the focus of discussion in the
popular media. It is essential to understand the scientific and engineering
elements of current AI systems in order to appreciate what they can
actually do, this needs to be the starting point for a serious discussion
of a rational public policy for regulating these systems.

Patrik Jägenstedt
Director Advanced Development, Robotics & AI Lab at Husqvarna

*Title:* TBA
*Abstract: *TBA


Organizing Committee

   - *Einav Perez-Andersson*, Jönköping University, School of
Engineering (General
   Chair)
   einav.perez.andersson@ju.se
   - *Florian Westphal*, Jönköping University, School of Engineering,
   florian.westphal@ju.se
   - *Jerome Landre*, Jönköping University, School of Engineering,
   jerome.landre@ju.se
   - *Maria Riveiro*, Jönköping University, School of Engineering,
   maria.riveiro@ju.se
   - *Tuwe Löfström*, Jönköping University, School of Engineering,
   Tuwe.Lofstrom@ju.se
   - *Maria M. Hedblom,* Jönköping University, School of Engineering,
   maria.hedblom@ju.se
   - *He Tan,* Jönköping University, School of Engineering,
   he.tan@ju.se
   - *Kerstin Bach*, Norwegian University of Science and Technology
   kerstin.bach@ntnu.no

Steering Chair


   - Fredrik Heintz, Linköping University, fredrik.heintz@liu.se