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 →
2Distinct papers
1Unique collaborators
1/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2372239172
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Chao Li (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Org Design: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Task Allocation: 2 papers
- Decision Quality: 1 paper
- Market Structure: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| Many organizational AI failures stem from missing representations of 'when not to follow the rule'; O‑I‑B‑A‑R formalises how to capture exceptions, runtime unknowns, and who must decide, making human–AI handoffs explicit — but the proposal remains conceptual and untested.arxiv | Chao Li provider id |
2026-08-29 | Missing, not zero |
| AI threatens to dissolve firms' coordinating role by internalizing human interfaces into computation, shifting value from physical assets and human collaboration to continuous, tokenized data flows. Domain-specific data-refinement infrastructure and regionally governed data-sovereignty bodies, not traditional firms or markets, may become the primary coordinators of production.arxiv | Chao Li provider id |
2026-04-30 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 2 papers in this view; 1 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.