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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5098345334
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Antonio Costa et al. (openalex, provider refresh)
- António Costa (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Governance And Regulation: 1 paper
- Hiring: 1 paper
- Inequality: 1 paper
- Research Productivity: 1 paper
- Skill Acquisition: 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 tools in hiring and workforce management produce ambivalent labour-market outcomes: they can widen access when used as assistive matchmakers but often deepen exclusion and bias when trained on flawed data or deployed without transparency and accountability. The review argues that technical audits, inclusive upskilling, participatory regulation, and responsible HR practices must work together to align AI with decent, inclusive work.openalex | António Costa provider id |
2026-04-16 | 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.