Collaborative Hybrid Human AI Learning through Conceptual Exploration

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

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.

Details

Original languageEnglish
Title of host publicationProceedings of HHAI 2024 Workshops
EditorsPetter Ericson, Nina Khairova, Marina De Vos
Pages1-8
Number of pages8
Publication statusPublished - 2024
Peer-reviewedYes

Publication series

SeriesCEUR Workshop Proceedings
Volume3825
ISSN1613-0073

Conference

Title3rd International Conference on Hybrid Human-Artificial Intelligence
Abbreviated titleHHAI 2024
Conference number3
Duration10 - 14 June 2024
Website
LocationMalmö University
CityMalmö
CountrySweden

Keywords

ASJC Scopus subject areas

Keywords

  • collaborative learning, conceptual knowledge, hybrid AI, hybrid learning, interactive AI