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 →
3Distinct papers
46Unique collaborators
3/3Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
123593472
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sanmi Koyejo (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 3 papers
- Productivity: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Adoption Rate: 3 papers
- Developer Productivity: 2 papers
- Other: 2 papers
- Governance And Regulation: 2 papers
- Output Quality: 2 papers
- Market Structure: 1 paper
- Task Allocation: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Revenue: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 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.
Citation observation summary
Semantic Scholar supplied counts for 3 of 3 papers in this view; 0 are missing. The observed paper counts sum to 15 cumulative citations. This is a coverage summary, not an author score or h-index.