HAIBridge 2025
HAIBridge 2025
1st Workshop on Bridging Hybrid (Artificial) Intelligence and the Semantic Web
1st Workshop on Bridging Hybrid (Artificial) Intelligence and the Semantic Web
This workshop generally targets the intersection between the Semantic Web field (and specifically the subset that is targeting neurosymbolic AI) and hybrid intelligence. By the latter, we are specifically interested in the human factors element, human-in-the-loop (HIL) techniques, how humans interact with knowledge-augmented agents, near-peers, or other AI systems that incorporate both neural systems and symbolic systems.
This community exists already in various places: the International Conference on Neurosymbolic AI3 and the Hybrid Human AI Conference4. In both cases, this workshop’s theme is understated. Historically, NeSyConf has focused on the neural side, with various flavors of symbolic data (but usually not, and only recently, knowledge graphs or ontologies).
HHAI, while having some notable overlap in research figures, the topics are not consistently leveraging lessons learnt in the SemWeb field. Various workshops are tangential to these topics (i.e., incorporating LLMs into various workflows), such as the previously held AAAI Fall Symposium Large Language Models for Knowledge Graph and Ontology Engineering.
These workflows, systems, and frameworks, even in their nascent stage, would find significant value in crossover from the human factors and hybrid intelligence communities. Yet a review of recent (within the last five years) workshops and publications at ESWC and ISWC indicates little (visible) overlap at the Semantic Web research. As such, the motivation for this workshop, in particular, is to bridge this gap between existing communities.
Submission Deadline: August 2, 2025 (23.59 AOE)
Notification of Acceptance: August 28, 2025 (23.59 AOE)
Workshop Date: November 2-3, 2025, [Exact Day TBD]
Language: Submissions must be in English.
Format: Papers should be formatted as a single PDF document no longer than 4-6 pages for a short paper or 8-12 pages for a long paper. In either case, they shall adhere to the LNCS guidelines. References do not count against page length. Detailed formatting instructions are available in Springer’s Author Instructions.
Publication: Accepted papers will be published with CEUR.
Review Process: The review process will be conducted via OpenReview.net, with opt-in single-anonymous reviewing. Papers will be reviewed by the programme committee based on their relevance to the workshop topic, originality, and quality.
Submission Platform: Papers should be submitted via EasyChair
We particularly welcome contributions on topics concerning the development of robust AI systems, which have at least one component pertaining to hybrid intelligence (e.g., human-in-the-loop) and one component pertaining to symbolic AI (e.g., an ontology). The application area is unbounded.
Topics include, but are not limited to:
– Knowledge informed Human-AI interaction, collaboration, and teaming
– Human-AI co-learning and co-creation
– Agent-in-the-loop Learning, reasoning, and planning
– Machine understanding and perception of humans
– Human Machine Teaming
– Symbolic representations for Hybrid AI (including behavior/performance and architecture/implementation)
– Using Knowledge Representation and Reasoning to inform:
• Reliable and robust HAI
• Transparent, explainable, and accountable HAI
• Fair, ethical, responsible, and trustworthy HAI
– Integrating Cognitive Science models into AI systems
• Using Cognitive Science as a bridge for human explainability and interpretability
– Applications of knowledge-augmented hybrid intelligence
Based on the selection of papers submitted – and accepted to the workshop – we will invite papers to a Special Issue of Neurosymbolic AI journal, by SagePub. More information soon!