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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134194108
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Tianle Chang (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 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 |
|---|---|---|---|
| AI boosts efficiency at financial firms but creates new systemic risks: common data and model architectures produce algorithmic homogeneity and opaque decision chains that amplify shocks into digital herds and 'algorithmic resonance'. Macroprudential frameworks must be redesigned for an era where technological dependence, not just leverage, drives fragility.openalex | Tianle Chang provider id |
2026-06-24 | 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.