Safety, alignment & interpretability· 2016
Semantics derived automatically from language corpora contain human-like biases
DOI 10.1126/science.aal4230arXiv 1608.07187OpenAlex W2893425640
On the reading lists
- #51 in Safety, alignment & interpretability (2026 edition)
Why it matters
Introduced WEAT and demonstrated that language embeddings reproduce measurable human social biases.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1608.07187)
- Published
- 2017
- Citations
- 3,338 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.339 · computed rank 505 · consensus 0.31, must-read 0, citations percentile 0.702 (2010s · safety), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.