Conférences  >  Informatique  >  Mise en œuvre et applications de l'intelligence artificielle  >  Allemagne

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Artificial Intelligence, Computers and Society, Databases, Trust, Transparency, Accountability, Knowledge Graphs, Web Data

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Artificial intelligence has made tremendous strides across many spheres of life, however deploying this technology in safety critical domains remains challenging. This seminar focuses on clinical practice where data-driven models can streamline the work of healthcare professionals and democratise access to personalised medicine, thus have lasting positive impact on society, but also where deploying such tools without adequate foresight and safeguards can be perilous. This duality – anticipated benefits that may come along with unintended consequences – requires new technologies to be thoroughly vetted, e.g., with clinical trials and medical certification processes, before they can be deployed to avoid any harmful fallout. However, fulfilling such regulatory requirements is a lengthy and complex process plagued with many challenges, hence while prototype systems are becoming increasingly ubiquitous, they often remain indefinitely designated as research tools that can be used exclusively for research purposes. Their lacklustre adoption is compounded by pervasive reproducibility issues; history of unsafe systems being deployed prematurely; scarce data that are inherently private, difficult to collect or share, and often riddled with numerous biases; and prevalence of automation promises that never come to fruition. Such hurdles result in healthcare remaining one of the least digitised spheres of life.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Logic and learning are central to Computer Science, and in particular to AI-related research. Already Alan Turing envisioned in his 1950 “Computing Machinery and Intelligence” paper a combination of statistical (ab initio) machine learning and an “unemotional” symbolic language such as logic. The combination of logic and learning has received new impetus from the spectacular success of deep learning systems. The goal of this Dagstuhl Seminar is to bring together researchers from various communities related to utilizing logical constraints in deep learning and to create bridges between them via the exchange of ideas.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Théorie de l'information, fondations de l'informatique

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The first goal of this Dagstuhl Seminar is to survey existing uses of any kind of XR technologies in the OR. More importantly, we will seek to foster and create ideas for novel research on using XR in the OR. This should lead to novel use cases of the technology, novel research questions, and an agenda for research on XR in the OR for the next 5 years. As one of the tangible outcomes, we plan to develop a position paper outlining this agenda during the seminar, and submit it to a major journal. These goals will be achieved by bringing together researchers from all sub-fields of XR (VR, AR, sound and haptic rendering, new materials, and other kinds of mixed reality), along with practitioners (surgeons) from different medical areas, in order to bring the practical perspective of surgery to the seminar.

Génie biomédical,    Interface homme-machine, expérience utilisateur, la réalité virtuelle

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

There are many connections between market design with and without money, and this Dagstuhl Seminar aims to provide a platform for scholars in auctions, matching, and learning in games to work together and develop new ideas on how to deal with the complexities in designing and analyzing real-world markets.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In our daily lives, we as humans perceive our surroundings in an inherently multimodal way. Nevertheless, the vast majority of data analysis idioms are exclusively visual, not using the apparent potential of combined designs. While the visualization field studies visual data analysis solutions, the sonification field investigates comparable solutions that convey data over non-speech audio. There are several similarities between the methods and design theories of both approaches, such as the use of perceptual variables to encode data attributes, the use of marks and substrates for conveying items, and the role of interaction in manipulating the data representations. Over the recent decades, both fields have established research communities, theoretical frameworks, and toolkit support.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Multimédia et infographie, Jeu vidéo

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Reactive systems are software systems that engage in a continual dialogue with their environment. They constitute the software parts of cyber-physical systems where timely reactions are often critical to safety. Applications include autonomous vehicles, electric power systems, industrial automation, healthcare electronics, and robotics. Because the software engages in a continual dialog with its environment, it often has conflicting requirements. It needs to be predictable, but robust to unpredictable events; it needs to react in a timely manner, but this often requires reacting with inconsistent information; it needs to be adaptable, but demonstrably safe; and it needs to be secure, but accessible and available. Many conferences and workshops focus on one of the goals, such as achieving real-time behavior, without explicitly acknowledging the costs and without providing sound strategies for dealing with failures that prevent reaching the goals. The focus of this seminar will be on the tradeoffs that are intrinsic in the design of such systems. When you make a system predictable, available, secure, or even demonstrably safe, what have you lost? This Dagstuhl Seminar will pull in experts from manifold disciplines to identify and discuss the fundamental limits in reactive systems design that make tradeoffs inevitable.

Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue,    L'Internet des objets (IoT) et réseau de capteurs

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The objective of this workshop is to bring together researchers, practitioners, and experts in the field of explainable AI to collaboratively develop reusable experiment designs. Evaluating explainability methods is something that has not been standardized by the community, meaning each author must develop and justify their own approaches. This reduces the abilities of researchers to publish their findings, which can also hinder progress in this space.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In a little over a year since the release of ChatGPT, language models (LMs) have stirred concerns in government, over the possibility that citizens will come to believe the textual and spoken output of such models. Similarly, they have caused panic in education, forcing a rethink of what students are learning and how to assess it. Of concern to us here, is whether LMs mean the end of computational and/or cognitive models of human language learning and language use. Does the practical success of LMs mean that computational linguistics (and perhaps even linguistics itself) is no longer relevant? Or are we missing problems with LMs that computational linguistics (and linguistics more generally) could help us both recognize and surmount?

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Traitement automatique des langues, Linguistique informatique

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH