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Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051)

Authors: John Domingue, Luis-Daniel Ibáñez, Sabrina Kirrane, Maria-Esther Vidal, and Philipp D. Rohde

Published in: Dagstuhl Reports, Volume 15, Issue 1 (2025)

Abstract

This report documents the program and results of the Dagstuhl Seminar 25051 "Trust and Accountability in Knowledge Graph-Based AI for Self Determination". The seminar focused on AI systems powered by Knowledge Graphs and their fundamental role in powering intelligent decision making. Knowledge Graphs complement Machine Learning algorithms by providing data context and semantics, enabling further inference and question answering capabilities, and their synergy with Large Language Models is being actively researched. Despite the numerous benefits that can be accomplished with KG-based AI, its growing ubiquity within online services may raise the loss of self-determination for citizens as a fundamental societal issue. The more we rely on these technologies, which are often centralised, the less citizens will be able to determine their own destiny. To counter this threat, AI regulation, such as the EU AI Act, is being proposed in certain regions. Regulation sets what technologists need to do, leading to questions concerning: How can the output of AI systems be trusted? What is needed to ensure that the data fueling and the inner workings of these artefacts are transparent? How can AI be made accountable for its decision-making?

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John Domingue, Luis-Daniel Ibáñez, Sabrina Kirrane, Maria-Esther Vidal, and Philipp D. Rohde. Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051). In Dagstuhl Reports, Volume 15, Issue 1, pp. 136-200, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{domingue_et_al:DagRep.15.1.136,
  author =	{Domingue, John and Ib\'{a}\~{n}ez, Luis-Daniel and Kirrane, Sabrina and Vidal, Maria-Esther and Rohde, Philipp D.},
  title =	{{Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051)}},
  pages =	{136--200},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{15},
  number =	{1},
  editor =	{Domingue, John and Ib\'{a}\~{n}ez, Luis-Daniel and Kirrane, Sabrina and Vidal, Maria-Esther and Rohde, Philipp D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.136},
  URN =		{urn:nbn:de:0030-drops-236722},
  doi =		{10.4230/DagRep.15.1.136},
  annote =	{Keywords: access control and privacy, federated query processing, intelligent knowledge graph management, programming paradigms for knowledge graphs, semantic data integration}
}

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Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051)

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