PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 7, 20260 citationsOpen Access

Structural Displacement in AI-Assisted Work and Decision-Level Asymmetry

Structural Displacement in AI-Assisted Work: From Observed Practice to Decision-Level Asymmetry in Psychosocial Risk Contexts

View Full Paper
Ask AI
Bookmark
Share

Authors

ABAna Marta Avilés BermúdezMAManuel Barrera AngladaJÁJuan José Megías Álvarez

Discussion

Loading...

Member takes

Overview

Working paper demonstrates decision-level asymmetry in AI-assisted work, indicating a need for improved psychosocial risk frameworks.

Key Points

  • The paper analyzes how AI transforms cognitive work, particularly focusing on structural displacements and their implications for decision-making.
  • Conducted a structural qualitative analysis based on sustained observation of real work practices
  • Identified three structural displacements: Criterion Drift, Process Bifurcation, and Decision Opacity
  • Developed within the Applied Cognitive Symbology (ACS) framework and followed the Canal Transparency Protocol (PTC) for traceability.
  • Revealed a growing asymmetry between AI output creators and decision makers
  • Demonstrated that current psychosocial risk assessment frameworks are incomplete
  • Identified systematic blind spots in evaluating cognitive load, autonomy, and role clarity.

Cite This Study

Bermúdez et al. (2026) studied this question.

synapsesocial.com/papers/69fc2c1f8b49bacb8b347c20https://doi.org/10.5281/zenodo.19898802
View Full Paper
Ask AI
Bookmark
Share