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:
A5148637689
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Mia Wilson (openalex, provider refresh)
- Mia Wilson (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Task Allocation: 1 paper
- Ai Safety And Ethics: 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 |
|---|---|---|---|
| Shadow AI is a symptom of broken governance: slow, rigid controls and tools that don’t meet workers’ needs drive unsanctioned AI use, creating hidden productivity gains and unpriced risks; curated marketplaces, expedited approvals and clear exception pathways realign incentives and reduce shadow practices.openalex | Mia Wilson provider id |
2026-08-30 | 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.