2026-09-20T23:22:28.549Z
- publishedAt:
Not provided→ 2016-07-21T00:00:00.000Z
SOURCE-LINKED INTELLIGENCE
Common Biases of Vector Embeddings
Researchers from Boston University and Microsoft Research, New England demonstrated gender bias in the most common techniques used to embed words for natural language processing (NLP).
Read original source ↗ Open in workspace
- recordType
- incident-report
- evidenceStatus
- reported
- region
- Global
Reported occurrence date: 2016-07-21T00:00:00.000Z
Evidence & attribution
- AI Incident Database
- AI Incident Database · 2016-07-21T00:00:00.000Z
AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.
License: CC BY-SA 4.0
First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.