Independent researcher ยท South Korea

Jooyeol Kim

Independent research on AI, institutions, and systems of responsibility.

I examine how digital systems shape visibility, pressure, accountability, and repair.

How the work begins

Problems first. Frameworks when useful.

The work can begin with a current event, an institutional failure, an existing framework, or a venue-specific question. The starting point does not determine the final form.

Issue-led

Start with a live problem.

A policy change, company decision, research claim, or public controversy is examined for the structure that ordinary coverage leaves unnamed.

Architecture-led

Start with a reusable lens.

A framework or audit architecture is tested across cases, revised at its boundaries, and translated into a public note or diagnostic output.

Venue-led

Start with an external question.

A call for papers, editorial interest, or collaboration request becomes a scoped problem that can draw on the wider research system without exposing the whole engine.

Selected paths

A compact proof surface.

Three routes show the current range: a diagnostic sample, a public essay, and the externally verifiable record.

Diagnostic sample

AI Deployment Risk Clarity Review

A public review format for identifying verification, escalation, rollback, accountability, and user or frontline burden gaps before wider AI deployment.

Open the sample โ†’
Public essay

The Landlord at the End of the AI Boom

An analysis of spatial gate rent and how AI-sector value becomes collectible through ownership of urban access.

Read the essay โ†’
Verification

Public Record

Accepted work, presentation status, public identifiers, source-linked records, and conversion limits.

Verify the record โ†’
Public record & scoped work

Readable claims. Visible boundaries. Verifiable records.

This site is a public portfolio and workbench, not a complete archive. Stable outputs are separated from tracking notes, and accepted work is described according to its actual conversion status.