2026-10-01T14:07:24Z https://dcpapers.dublincore.org/oai

oai:dcpapers.dublincore.org:952631974 2026-09-10 dcmi-2026 openaire

Worldview, Experience, and Metadata: Operationalizing Integrative Levels for Transdisciplinary Knowledge Systems Stangenberg, Elizabeth This workshop explores how lived experience and assumptions shape interoperability and AI metadata tagging through narrative exploration, thought experimentation, and collaborative exercises. These exercises use an un-assumptions methodology to map individual worldviews, determine predisposition to bias, and to challenge closely held assumptions. Participants will engage in a collaborative exploration of human perspectives to produce real time definition, framing, and classification decisions – individually, in small groups and as a workshop. By progressing through the levels of awareness, we will embark on a collaborative journey from self-awareness to global understanding. To accurately capture these interventions, the tagging exercises will be executed using a strict split of 60% analog, 30% traditional tech, and 10% AI. The workshop integrates worldview mapping, media literacy principles, and scenario-based group decision-making, to compare individual and collective classification behavior. Drawing on an operational framework and longitudinal human–AI interaction data, the session demonstrates how embedding worldview-aware inputs into metadata systems can support more adaptive, human-centered, and interoperable knowledge infrastructures. This approach contributes to meaning-driven AI by providing practical methods for aligning metadata systems with human values across domains. Dublin Core Metadata Initiative 2026-09-10 info:eu-repo/semantics/conferenceObject Text application/pdf text/html https://doi.org/10.23106/dcmi.952631974 https://dcpapers.dublincore.org/article/952631974 Dublin Core Metadata Initiative Conference Proceedings eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/