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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5140049764
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Cen, Sarah H. (openalex, provider refresh)
- Sarah H. Cen (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Innovation Output: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| Taxing AI can rebalance costs and fund regulation, but one-size-fits-all levies would misfire; policymakers should match specific tax instruments to distinct AI externalities and grapple with measurement, leakage and innovation trade-offs.openalex | Cen, Sarah H. provider id |
2026-07-02 | 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.