Collaborative Hybrid Human AI Learning through Conceptual Exploration

Bernhard GanterBernhard Ganter, Tom HanikaTom Hanika, Johannes HirthJohannes Hirth, Sergei ObiedkovSergei Obiedkov

ISSN: 1613-0073
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Bernhard Ganter, Tom Hanika, Johannes Hirth, Sergei Obiedkov
Collaborative Hybrid Human AI Learning through Conceptual Exploration
In Petter Ericson, Nina Khairova, Marina De Vos, eds., HHAI-WS 2024: Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence (HHAI 2024), volume 3825, 1–8, June 2024. CEUR Workshop Proceedings

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KurzfassungAbstract
Conceptual Exploration is a sophisticated method for the interactive and structured acquisition of knowledge from experts. It is therefore particularly suitable for the use in hybrid settings where both humans and AIs act as experts. This article provides a brief summary of how conceptual exploration can be used in the context of Hybrid Human AI systems, as discussed within a tutorial during the third HHAI conference in Malmö, Sweden. We will recapitulate two small experiments that were carried out with the participants of the tutorial and their results. Finally, we give some pointers on how this promising link can be further researched.
Weitere Informationen unter:Further Information: Link
Projekt:Project: ScaDS.AI
Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems

@inproceedings{GHHO2024,
  author    = {Bernhard Ganter and Tom Hanika and Johannes Hirth and Sergei
               Obiedkov},
  title     = {Collaborative Hybrid Human {AI} Learning through Conceptual
               Exploration},
  editor    = {Petter Ericson and Nina Khairova and Marina De Vos},
  booktitle = {HHAI-WS 2024: Workshops at the Third International Conference on
               Hybrid Human-Artificial Intelligence (HHAI 2024)},
  volume    = {3825},
  publisher = {CEUR Workshop Proceedings},
  year      = {2024},
  month     = {June},
  pages     = {1{\textendash}8}
}