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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5133744615
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Huang, Jim Y (openalex, provider refresh)
- Huang, Jim Y (openalex, source metadata)
- Jim Y. Huang (openalex, provider refresh)
- Jim Y. Huang (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Legal AI often looks right before it actually is: generative systems can produce persuasive, doctrinally familiar answers without having traced the legally decisive path, and the real harm begins when professionals adopt or deploy those outputs; AI should be confined to retrieval and judgment-preparation, not autonomous legal decision-making.openalex | Huang, Jim Y provider id |
2026-01-01 | 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.