Unverified50% confidenceFactExact time
The research team systematically validated the context confusion phenomenon in three domains: gender equality, privacy, and personal safety.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA 2019 study found systematic gender-association biases in word vector embeddings, for example, "nurse" was highly associated with women while "engineer" was highly associated with men.69% similarUnverifiedThe researcher plans to introduce external correctness labels (tests or human judgment) to distinguish benign diversity from fatal divergence.67% similarUnverifiedThe research team instantiated the method end-to-end and evaluated it on three publicly available log datasets that differ significantly in scale and behavioral diversity.66% similarUnverified商用人脸识别系统在不同种族和性别群体间存在显著准确率差异，深肤色人群和女性的误识率明显偏高，根源在于训练数据构成不均衡62% similarUnverifiedMainstream bias benchmarks currently include datasets such as WinoBias, StereoSet, and BBQ, which measure a model's stereotyping tendencies along dimensions such as gender and race by constructing contrastive sentence pairs or multiple-choice questions.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/964019API
curl https://kongchang.com/api/v1/knowledge/claims/964019MCP
get_claim(id=964019)