01
Access
Can people actually reach the tools and the network?
RESEARCH REPORT 02 · v2.0.2
A public study of the AI gap in the core observation area of northern North Gyeongsang Province. It looks beyond access, at use, results and organizational capacity.
Executive summary
The report asks whether people can reach AI tools. It also asks whether they can apply AI to field tasks, measure the results, and whether their organization can check, approve and record the work.
It links keyword families, an early warning for field-work fatigue and a task-performance ladder. Together they give a starting point for observation and intervention. The report did not measure the real gap at each institution or the effect of any intervention. Its frame does not replace field research.
Observation frame
01
Can people actually reach the tools and the network?
02
Can people apply AI to specific tasks at work or in learning?
03
Is any change in time, quality or accessibility measured?
04
Can the organization keep it running, including checking, approval and records?
Method
Limits
We did not do our own field survey or measure results at each institution.
Google Trends gives relative, sampled search signals.
Generated images are not evidence of a real installation, site or result.
We do not claim causal effects from observed signals alone.
We do not assume the results apply outside the region.
Publication does not mean legal, privacy or publishing approval.
Citation & sources
Shin, Chihoon. (2026). Does AI Transformation Narrow or Widen the Gap? The AI Divide in the Core Observation Area of Northern North Gyeongsang Province [in Korean]. MSSJ AI Academy Research Report No. 2, v2.0.2. ISBN 979-11-220939-1-9 (PDF).