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(单词翻译:双击或拖选)
I realized that, as I worked on improving AI task by task, dataset by dataset, 我了解到,当我努力在改善人工智能,一个任务一个任务、一个数据集一个数据集地改善,
that I was creating massive gaps, holes and blind spots in what it could understand. 结果我却在它能了解什么上创造出了大量的隔阂、漏洞以及盲点。
Biases that reflect a limited viewpoint, limited to a single dataset 这些偏见反映出受限的观点,受限于单一数据集,
biases that can reflect human biases found in the data, such as prejudice and stereotyping3. 这些偏见能反应出在数据中的人类偏见,比如偏袒以及刻板印象。
I thought back to the evolution of the technology that brought me to where I was that day 我回头去想一路带我走到那个时点的科技演化,
how the first color images were calibrated4 against a white woman's skin, 第一批彩色影像如何根据一个白种女子的皮肤来做校准,
And the same blind spot continues even today in how well we can recognize different people's faces in facial recognition technology. 而同样的盲点甚至持续到现今,出现在我们对于不同人的脸部辨识能力中,在人脸辨识技术中。
I thought about the state of the art in research today, where we tend to limit our thinking to one dataset and one problem. 我思考了现今在研究上发展水平,我们倾向会把我们的思路限制在一个数据集或一个问题上。
And that in doing so, we were creating more blind spots and biases that the AI could further amplify6. 这么做时,我们就会创造出更多盲点和偏见, 它们可能会被人工智能给放大。
点击收听单词发音
1 bias | |
n.偏见,偏心,偏袒;vt.使有偏见 | |
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2 biases | |
偏见( bias的名词复数 ); 偏爱; 特殊能力; 斜纹 | |
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3 stereotyping | |
v.把…模式化,使成陈规( stereotype的现在分词 ) | |
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4 calibrated | |
v.校准( calibrate的过去式和过去分词 );使标准化;使合标准;测量(枪的)口径 | |
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5 biased | |
a.有偏见的 | |
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6 amplify | |
vt.放大,增强;详述,详加解说 | |
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