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
6Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2260707254
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Daniele Quercia (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Org Design: 2 papers
- Productivity: 1 paper
Claim outcomes
- Other: 2 papers
- Worker Satisfaction: 2 papers
- Task Allocation: 2 papers
- Error Rate: 1 paper
- Automation Exposure: 1 paper
- Creativity: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| Three-quarters of AI design mismatches trace back to developers’ focus on speed: 83% of workplace AI incidents arise when systems don’t match worker needs, and developers’ emphasis on efficiency explains 74% of task-level misalignments, especially in people-facing roles.arxiv | Daniele Quercia provider id |
2026-05-20 | 0 |
| Tasks that give workers agency and happiness are more likely to be exposed to AI, raising concerns about erosion of meaningful work; meanwhile, developers design systems around politeness and imagination, whereas workers want straightforward, tolerant, practical tools.arxiv | Daniele Quercia provider id |
2026-03-16 | 3 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 3 cumulative citations. This is a coverage summary, not an author score or h-index.