Algorithmic Monocultures in Hiring★ 78
Hacker News (AI keywords)6 days agoPaperThis study analyzes 3.4 million real applicants and 4 million applications across 156 U.S. employers. It finds position-level racial adverse impact that aggregate analysis can obscure, especially affecting Black and Asian applicants. The authors also show that reliance on a single vendor can create homogeneous outcomes and systemic rejections, calling for stronger audits, surveillance, and researcher access.
Hugging Face 倫理與社會通訊 #6：打造更好的 AI，數據品質至關重要★ 75
Hugging Face Blog720 days agoOpinionHugging Face recently published its "Ethics and Society Newsletter #6," with this issue focused on the theme "Building Better AI: The Importance of Data…
Hugging Face 倫理與社會電子報 #4：文字生成圖像模型中的偏見問題
Hugging Face Blog1,084 days agoCommentaryThe Hugging Face Ethics and Society team has published the fourth edition of its newsletter, this time focusing on the problem of "bias" in text-to-image (T2I)…
聊聊機器學習中的偏見！Hugging Face 倫理與社會電子報第二期
Hugging Face Blog1,277 days agoOpinionThis second issue of the newsletter from Hugging Face's Ethics and Society team centers on the theme of "Biases in Machine Learning." As AI technology becomes…
使用 🤗 Evaluate 評估大型語言模型的偏見
Hugging Face Blog1,329 days agoTutorialAs large language models (LLMs) become widely used across various domains, the issues of bias and toxicity in model outputs have received increasing attention…