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
5Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5133166346
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Di Wang (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Research Productivity: 1 paper
- Skill Obsolescence: 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 |
|---|---|---|---|
| Workflow-integrated foundation models turn meetings and documents into durable, queryable 'artifact capital', making AI-enabled remote-first arrangements the default for much knowledge work. Offices instead become a resource for apprenticeship, conflict repair and other high-tacitness activities, while new risks—surveillance, skill atrophy and carbon costs—demand targeted ML and policy research.openalex | Di Wang provider id |
2026-04-08 | 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.