University teachers are shaping the hearts and minds of the next generation of AI researchers. It is important that PhD students in computer science and AI learn about the results of TAILOR researchers in the domain of trustworthy AI. Researchers Peter Flach and Miquel Perello-Nieto have been leading a team of researchers collecting a set […]
Trustworthy AI in Education Read More »
Humans like to compete, not only in sports but also in computer science. This makes data competitions an excellent way of reaching very diverse goals and interest groups. The universal language of competitions allows to showcase what is possible and to create incentives for applicable and experimental research. It is also used to attract talent.
Using AI competitions to advance science and attract talent Read More »
The concept of robotic workers in our home and workplace isn’t new. We’ve all wished we had a robot vacuum cleaner, seen grass cut automatically, interacted with some level of autonomy in vehicles, or used voice recognition to play the next song. All with varying degrees of success, and varying levels of anthropomorphizing.
Creating links between European AI researchers of tomorrow Read More »
At the TAILOR conference in Lisbon, from June 3rd to 5th, 2024, Wico Mulder (TNO), supported by Trine Platou and Carla Pacheco, organized a workshop on AI assistants for mental well-being. The workshop aimed to explore the potential of AI-based digital assistants in the domain of mental well-being, especially for addressing this issue among adolescents.
Report of the Workshop: “AI Assistants for Mental Wellbeing” in Lisbon Read More »
Marie Anastacio PhD candidate at Leiden University, RWTH Aachen After the successful execution of our 2023 workshop in collaboration with the TAILOR-ESSAI Summer School, we propose to organise a second edition at ESSAI2024. The event will focus on fostering a community of young AI researchers in Europe, supporting AI researchers and promoting mental well-being for
CLAIRE | Rising Research Network: AI Research and Mental Well-Being Workshop 2nd edition Read More »
Milica Todorovic Associate professor at University of Turku In the past decade, artificial intelligence algorithms have demonstrated a tremendous potential and impact in speeding up the processing, optimisation, and discovery of new materials. The objective of the workshop and school “Machine Learning Modalities for Materials Science” (MLM4MS 2024) was to bring together the community of
Machine Learning Modalities for Materials Science Read More »
Filipa Correia Assistant Researcher at Interactive Technologies Institute, University of Lisbon The research project will explore the trustworthiness of an embodied AI, such as a social robot. Specifically, it will investigate whether the performance of humanlike motions of a non-humanoid robot enhances the perceived trustworthiness of that robot. Beyond the scientific contribution to the current
Evaluating the Trustworthiness of Human-like Robotic Motion Read More »
Philippe Balbiani CNRS researcher at Toulouse Institute of Computer Science Research (Toulouse, France) Rooted in Intuitionistic and Constructive Reasoning, Intermediate Logics have found important applications through the Curry-Howard correspondence. Nowadays, there is an Intuitionistic Modal Logics renaissance in Computer Science and Artificial Intelligence. Connections between, on one hand, Intuitionistic and Constructive Mathematics and, on the
Explanations and Reasoning: Proofs and Models of Intuitionistic Modal Logics Read More »
Manfred Jaeger Associate Professor at Aalborg University Learning and reasoning with graph and network data has developed as an area of increasing importance over recent years. Social networks, knowledge graphs, sensor and traffic networks are only some of the examples where graph-structured data arises in important applications. Much of the attention currently focuses on graph
Neuro-symbolic integration for graph data Read More »
Róbert Móro Researcher at Kempelen Institute of Intelligent Technologies To mitigate disinformation with AI in a trustworthy way, it should prioritize human agency and control, transparency, and accountability including the means for redress. This can be achieved by using AI to support rather than to replace media professionals, such as fact-checkers, in their efforts to
Improving Cross-Lingual Retrieval of Previously Fact-Checked Claims Read More »
