{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","title":"被算法操控的生活：重新定义精准广告、大数据和AI","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787571003012","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","id":"094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","uuid":"094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","title":"被算法操控的生活：重新定义精准广告、大数据和AI","normalized_title":"被算法操控的生活重新定义精准广告大数据和ai","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787571003012","isbns":["9787571003012"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":257,"navigation_url":"https://workshop.closeclaw.top/ai/book/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","title_url":"https://workshop.closeclaw.top/ai/title/%E8%A2%AB%E7%AE%97%E6%B3%95%E6%93%8D%E6%8E%A7%E7%9A%84%E7%94%9F%E6%B4%BB%EF%BC%9A%E9%87%8D%E6%96%B0%E5%AE%9A%E4%B9%89%E7%B2%BE%E5%87%86%E5%B9%BF%E5%91%8A%E3%80%81%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%92%8CAI","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a","page_url":"https://workshop.closeclaw.top/api/ai/books/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a/page","search_url":"https://workshop.closeclaw.top/api/ai/books/094ce2a7-d7e6-4de6-a84c-9994a96a3c4a/search"},"page":{"printed_page":58,"pdf_page":78,"physical_index":78,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"20eb03172afbf97d04091149a5d787fdd7840ab07da4f4039b0b056447bae0ce"},"chapter":"第3章你以为自己了解朋友？脸书比你更懂他们","content":"当然，你是对的。我制作了一个广告，看到这个广告的男性数量是女性的四倍，这不公平。但我会运用和Northpointe同样的逻辑去证明自己的算法是正确的。就对这项工作感兴趣的两组人来说，我们做出正确预测的比例是一样的，这就是我所使用的无偏差校准的定义，而无偏差校准也是蒂姆·布伦南证明COMPAS算法对黑人罪犯和白人罪犯做了公平预测时所使用的依据。我的广告特别注意消除校准偏差。\n\n现在，你在脸书广告的算法中多勾选了一些选项。我们运行了这个模型之后得到了表6.3所示的结果。现在，该算法向100名可能会有意愿申请这份工作的女性以及200名可能会对此次招聘感兴趣的男性做了推送。100比200的比例反映了潜在的对该职位感兴趣的男女的数量比(125比250)，此外男性和女性两组人的漏报率（五分之一）也是一样的。\n\n被算法操控的生活OUTNUMBERED\n\n58","previous_page":57,"next_page":59}