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Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The rapid advancements in digital technologies, particularly generative AI, have triggered a profound shift in the relationship between technology, humans, society, and the values that shape our world. These developments challenge the traditional understanding of computer science, both as a discipline and as a driver of societal transformation.

University of Maia and Institute for Research Development, Training and Advice – IRDTA, Brussels/London

AIces 2026 is a multidisciplinary research training school featuring 12 courses, 2 keynote lectures, a round table, three open debate sessions, and a participant symposium. It focuses on AI across three thematic lines: cognition, ethics, and society, and is aimed at graduate students, researchers, and industry practitioners.

Email: david@irdta.eu

AI, Ethics, Cognitive Science

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Veranstaltungen für Studenten der Informatik

Lake Como School of Advanced Studies (LCSAS)

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Implementierung und Anwendungen von künstlicher Intelligenz

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Social Inteliigence in AI Theory of Mind Large Language Models Social Arificial Intelligence Social Agents

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we aim to bring together researchers and industry practitioners who study and build digital games. The goal is to generate a better understanding of the harms in games and progress towards enriching playful experiences for broad groups of players.

games; toxicity; deceptive design; problematic gaming; accessibility;

Benutzerschnittstellen, User Experience, Virtuelle Realität ,    Mulitimedia und Computergrafik, Spiele

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

We expect this Dagstuhl Seminar to have outcomes that support research and development in the area of physically assistive robotics, including: documentation of guidelines on how to include the disabled community and other stakeholders in research; highlights and insights about how different disciplines can come together to work on physically assistive robotics; clear open questions regarding topics that still need to be explored in this field in the future; establishment of collaborations between researchers, community, and industry.

Robotik, Automatisierung & Mechatronik,    Medizintechnik

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Data Quality; Bias and Fairness; Responsible AI

Benutzerschnittstellen, User Experience, Virtuelle Realität ,    Datenbanktechlologie, Suchmaschinen und Data-Mining