KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)

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dc.contributor.authorGaur, Manas
dc.contributor.authorTsamoura, Efthymia
dc.contributor.authorRaff, Edward
dc.contributor.authorVedula, Nikhita
dc.contributor.authorParthasarathy, Srinivasan
dc.date.accessioned2026-02-12T16:44:17Z
dc.date.issued2024-08-24
dc.descriptionKDD ’24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 25-29, 2024, Barcelona, Spain
dc.description.abstractThe Knowledge-infused Learning Workshop is a recurring event in ACM's KDD Conference that gathers the research community on knowledge graphs and knowledge-enabled learning, grounded neurosymbolic AI, explainable and safe AI, and applications in high-stakes decision-making problems. This year, the workshop aligned with Biden's vision of Responsible AI Development.
dc.description.sponsorshipaltia.ai generously supports the workshop. The opinions, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of Haltia.ai.
dc.description.urihttps://dl.acm.org/doi/10.1145/3637528.3671495
dc.format.extent3 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2vods-yi3b
dc.identifier.citationGaur, Manas, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, and Srinivasan Parthasarathy. “KiL 2024: 4th International Workshop on Knowledge-Infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs).” KDD ’24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 24, 2024, Barcelona, Spain https://doi.org/10.1145/3637528.3671495.
dc.identifier.urihttps://doi.org/10.1145/3637528.3671495
dc.identifier.urihttp://hdl.handle.net/11603/41877
dc.language.isoen
dc.publisherACM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Ebiquity Research Group
dc.subjectUMBC KAI2 Knowledge-infused AI and Inference lab
dc.titleKiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5411-2230

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