Call for participation: SCAI’24 - The 14th Scandinavian Conference on AI. 10-11th June, 2024. Jönköping, Sweden
Maria Hedblom
Call for Participation
SCAI’24 - The 14th Scandinavian Conference on AI
10-11th June, Jönköping, Sweden
Event website: 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: Dangers 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
Title: TBA
Abstract: TBA
Organizing Committee
- Einav Perez-Andersson, Jönköping University, School of Engineering (General Chair)
einav.pere...@ju.se - Florian Westphal, Jönköping University, School of Engineering,
florian....@ju.se - Jerome Landre, Jönköping University, School of Engineering,
jerome...@ju.se - Maria Riveiro, Jönköping University, School of Engineering,
maria....@ju.se - Tuwe Löfström, Jönköping University, School of Engineering,
Tuwe.L...@ju.se - Maria M. Hedblom, Jönköping University, School of Engineering,
maria....@ju.se - He Tan, Jönköping University, School of Engineering,
he....@ju.se - Kerstin Bach,
Norwegian University of Science and Technology
kersti...@ntnu.no
Steering Chair
- Fredrik Heintz, Linköping University, fredrik...@liu.se