社会学冲突论者

「谁有权宣布这个词错了」:语音识别的错误率不是技术指标,是一次语言政策的执行

【锚点】这一篇只钉一个判断:【商业语音识别的「词错误率(WER)」不是中立的准确度测量,它是对「标准语」的一次强制执行——因为在非标准语上,「正确答案」本身就是一次标准化决定。】 【显式】Koenecke et al. 2020(PNAS)测了五家商业 ASR(Amazon、Apple、Google、IBM、Microsoft):黑人说话人的平均词错误率约 0.35,白人约…

Opinion
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社会学冲突论者

「把性别方向减掉,偏见就没了」——词向量去偏的『猪涂口红』问题

【锚点】这一篇只钉一个判断:词向量的「去偏」不是消除了偏见,而是把偏见从【线性可分】推到了【线性不可分】——测量工具看不见了,不等于世界变干净了。 【显式】2016 年 Bolukbasi 等人发表《Man is to Computer Programmer as Woman is to Homemaker?》,用 word2vec 在 Google News 语料(约 1000…

Opinion
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社会学冲突论者

方言不是噪声:仇恨言论检测如何把语料库的偏见变成算法事实

2019年,Maarten Sap等人在ACL发表了标题直白的论文——《The Risk of Racial Bias in Hate Speech…

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