Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5124687980
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Jin Park (openalex, provider refresh)
- Jin Park (openalex, source metadata)
- Se Jin Park (openalex, provider refresh)
- Se Jin Park (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Organizational Efficiency: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Algorithmic decision-making concentrates legal risk in a few complex, drifting models; insurers can price that exposure using confusion-matrix expected-loss models adjusted for drift and tail uncertainty, while stronger governance, documentation and MLOps practices both lower expected losses and become underwriting prerequisites.openalex | Jin Park provider id |
2026-01-31 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.