{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"e613fff5-9eda-4e8d-b348-903e6d630253","title":"黑箱社会 控制金钱和信息的数据法则＝THE BLACK BOX SOCIETY","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508655208","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"e613fff5-9eda-4e8d-b348-903e6d630253","id":"e613fff5-9eda-4e8d-b348-903e6d630253","uuid":"e613fff5-9eda-4e8d-b348-903e6d630253","title":"黑箱社会 控制金钱和信息的数据法则＝THE BLACK BOX SOCIETY","normalized_title":"黑箱社会控制金钱和信息的数据法则theblackboxsociety","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508655208","isbns":["9787508655208"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":318,"navigation_url":"https://workshop.closeclaw.top/ai/book/e613fff5-9eda-4e8d-b348-903e6d630253","title_url":"https://workshop.closeclaw.top/ai/title/%E9%BB%91%E7%AE%B1%E7%A4%BE%E4%BC%9A%20%E6%8E%A7%E5%88%B6%E9%87%91%E9%92%B1%E5%92%8C%E4%BF%A1%E6%81%AF%E7%9A%84%E6%95%B0%E6%8D%AE%E6%B3%95%E5%88%99%EF%BC%9DTHE%20BLACK%20BOX%20SOCIETY","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/e613fff5-9eda-4e8d-b348-903e6d630253/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/e613fff5-9eda-4e8d-b348-903e6d630253/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/e613fff5-9eda-4e8d-b348-903e6d630253","page_url":"https://workshop.closeclaw.top/api/ai/books/e613fff5-9eda-4e8d-b348-903e6d630253/page","search_url":"https://workshop.closeclaw.top/api/ai/books/e613fff5-9eda-4e8d-b348-903e6d630253/search"},"page":{"printed_page":58,"pdf_page":77,"physical_index":77,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"076a66b8b13f6c0290c779d8b0fe67189ecd147e87bd9799f7dbb97b6d4a21b0"},"chapter":"第一章","content":"一位Google发言人指责纽曼使用“有缺陷的方法”得出了“极不准确的结论”，并声称Google绝不会“基于种族和姓名等敏感信息选择广告内容”。信誉算法的黑箱性质再一次使这一问题的解决陷入僵局。即使我们可以对某一公司进行审查，并确保其操作程序没有涉及故意歧视，但算法的疏忽仍然是一个需要给予现实关注的问题。不一定是“种族干预因素”让某项算法对“拉坦扎”和“塔尼娅”做出了区分，或许仅仅是由于过去有人对姓名因素进行过评估，而电脑程序又将该评估结果进行了延伸。在无法获知数据和编程内幕的情况下，我们永远无法知道这种关联性是如何产生的，也不知道“现实生活”中存在的歧视问题如何潜入到了网络空间。正如联邦贸易委员会主席伊迪丝·拉米雷斯(EdithRamirez)指出的那样，我们必须“确保在使用大数据算法时，(公司)不会基于社会上的法律或道德分类，如种族、族裔、性别和性取向等，对人进行划分”。\n\n黑箱社会The Black BoxSociety\n\n058","previous_page":57,"next_page":59}