[DL] OSETAI 2026: Two weeks left for submissions

Martin Thomas Horsch martin.thomas.horsch at nmbu.no
Thu May 21 16:57:18 CEST 2026


Two weeks left for submissions to the OSETAI 2026 workshop!

   http://www.inprodat.de/events/osetai-2026/call-for-papers.html

Workshop on Ontology and Semantics of Explanations and Trustworthy AI

OSETAI 2026 is a workshop dealing with the formal characterization, representation, and evaluation of explanations and trust. The workshop is part of JOWO 2026. Explainable and trustworthy AI raises foundational questions about the nature, structure, and semantics of explanations and trust claims, which fall squarely within applied ontology and formal semantics. Trust and trustworthiness are not solely properties of models or explanations; they are socially grounded, emerging from institutional contexts, shared norms, accountability structures, and sustained relationships between agents. Explanations and validity statements or certificates are metadata associated with models and data.

Topics of interest

    Abductive reasoning and the generation of explanations and justifications
    Applications of formal ontology to explainability and trustworthiness
    Causal thinking, reasoning, and modelling
    Connecting theory and ontologization of explanations to regulatory compliance and industrial impact
    Digital forensics and formal documentation of evidence admissible in court
    DIKW hierarchy and epistemic levels of explanation: Data, knowledge, information, and wisdom
    Explainability in symbolic reasoning and documentation of formal proofs
    Explanation formats exploiting domain knowledge
    Factual and counterfactual explanations
    Large language models from the perspective of explainability and trustworthiness
    Nature of the entities to be explained (explananda)
    Ontological and semantic perspectives on holistic versus component-wise validation of models and systems
    Opacity and transparency, interpretability and interpretation
    Reasoning with explainable neural models
    Responsibility, trust, trustworthiness and reasons/motivations for trusting
    Social aspects and sociology of trustworthiness and relationships of trust
    Taxonomies and ontologies of explanations
    Use of explanations for debugging knowledge-based systems and AI models

Manuscript types

We welcome original submissions of the following types.

    Full paper: 12 to 18 pages
    Short paper: 6 to 9 pages
    Abstract only: 2 to 3 pages

Submissions must adhere to the one-column LaTeX CEURART style. All page limits include references. The short papers can e.g. also be position papers, summaries on research in progress, or practitioner reports. Use the EasyChair set up by FOIS 2026 to submit your manuscript. Full papers and short papers will be included in the proceedings, while contributions submitted as abstract only will not.



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