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May 6, 2026Development in Learning Organizations An International Journal

Sensemaking in the AI workplace: a guide for organizational learning

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Authors

EDEverod Davis

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Overview

This article explores sensemaking's role in enhancing organizational learning in AI-driven workplaces, indicating necessary protocols.

Key Points

  • The article explores how sensemaking can facilitate organizational learning in environments influenced by artificial intelligence.
  • Conceptual examination of AI's impact on workplace dynamics.
  • Advocacy for a shift from traditional to AI sensemaking strategies.
  • Discussion of formal protocols for knowledge extraction and codification.
  • AI sensemaking shifts focus from uncertainty to proper contextualization of algorithmic outputs.
  • Proposes that organizations implement formal sensemaking protocols like after-action reviews.
  • Addresses the knowledge gap between human meaning-making processes and AI system objectivity.

Cite This Study

Everod Davis (2026) studied this question.

synapsesocial.com/papers/69fadad703f892aec9b1e86chttps://doi.org/10.1108/dlo-12-2025-0454
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial intelligence and work transformations: integrating sensemaking and workplace learning perspectives2024 · 37 citations
  2. 2Daily Encounters with AI: An Inquiry into Users’ Sensemaking2025
  3. 3Sensemaking AI: Introducing a research and design agenda for human–AI networks2026 · 1 citations
  4. 4Sensemaking AI: Introducing a Research and Design Agenda for Human–AI Networks2025
  5. 5A sensemaking approach for AI adoption: the role of AI framing and digital culture2026