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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2219258716
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Jason Branford (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Inequality: 1 paper
- Decision Quality: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Worker Satisfaction: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| AI benchmarks are not neutral yardsticks but power tools: weak validation, biased datasets and opportunistic gaming concentrate prestige and resources in wealthy labs, entrenching inequities and steering research away from socially beneficial directions.arxiv | Jason Branford provider id |
2026-08-15 | 0 |
Citation observation summary
Semantic Scholar 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.