Workshops
At IJCAI–ECAI 2026, DFKI is co-organizing several workshops together with international partners. These cover key areas of modern AI, including trustworthy and secure agent systems, humanoid robotics, resource-efficient AI, and ethical applications in medicine. For more details on participation and paper submissions, please visit the official workshop websites.
Safe Agentic AI Framework and Ecosystem Roadmapping (SAFER)
The SAFER workshop brings together researchers, industry experts, policymakers, and students to collaboratively develop a roadmap for trustworthy agentic AI systems. In light of increasing autonomy and societal relevance, the focus is particularly on technical, regulatory, and ethical challenges.
Based on position papers and structured discussions, participants work toward a shared understanding of risks, opportunities, and governance approaches. The workshop thus provides a framework for interdisciplinary exchange and sets impulses for shaping safe and responsible agentic AI ecosystems.
Workshop website & submissions: https://github.com/mtmaybury/SafeAgents
Sustainability and Resource-Efficiency of Artificial Intelligence (SuRE)
The SuRE workshop addresses the growing ecological and computational demands of modern AI systems. As models, datasets, and computational requirements continue to scale, issues such as energy consumption, resource efficiency, and equitable access to AI technologies are becoming increasingly important. The workshop focuses on measurable and reproducible approaches to sustainable AI, including efficiency metrics, benchmarks, and empirical system analyses.
By bridging methodological research with practical applications such as in edge and embedded systems – the workshop explores key trade-offs and design decisions. Contributions that advance both the performance and sustainability of AI systems are especially welcome.
Workshop website & submissions: https://sure-wshop.github.io/
Ethics in Clinical AI Applications (ETHICAIA)
The ETHICAIA workshop focuses on the ethical and societal aspects of AI in healthcare. As AI systems increasingly support clinical decision-making and medical workflows, questions of fairness, robustness, accountability, and societal impact are becoming ever more important.
The workshop brings together researchers from various AI disciplines, including machine learning, natural language processing, computer vision, and multimodal systems, with a shared focus on clinical applications. Through paper presentations, invited talks, and discussion formats, participants explore how ethical perspectives can be more strongly integrated into clinical AI research. The goal is to foster responsible innovation at the intersection of AI and medicine.
Workshop website & submissions: https://ethicaia.loria.fr/
AI-Based Humanoid Robot Design and Control Through the Lens of HRI, Evolution, and Biomechanics
This workshop provides an interdisciplinary platform for researchers and practitioners from artificial intelligence, robotics, human-robot interaction (HRI), biomechanics, and related fields to discuss novel approaches to the design and control of humanoid systems. By combining technical and biologically inspired perspectives, it aims to generate new impulses for the next generation of humanoid robotics.
The focus lies on key challenges such as sim-to-real transfer, adaptability, and human-centered design. Contributions and discussions open up new perspectives on robot morphology, control, and interaction, and make an important contribution to the development of robust, real-world-ready systems with growing societal relevance.
Workshop website & submissions: https://hominoid-robot.dfki-bremen.de/