{"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":63,"pdf_page":83,"physical_index":83,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"1bf6c9ee6ae8e7c7c303aef188a9c1627e6b4597ec5e95e7ef35d8e1761733a9"},"chapter":"第3章你以为自己了解朋友？脸书比你更懂他们","content":"第 7 章|数据炼金术士\n\n和我交谈过的很多研究人员和活动家都理所当然地认为算法很聪明，并且在迅速地变得更加聪明：算法在数以百计的维度中“思考”，处理海量数据，并了解我们的行为。\n\n这些观点常常来自乌托邦主义者，比如蒂姆·布伦南。他是COMPAS的创造者，认为能够预测未来的算法将帮助我们做出关键决定；同样地，它们也来自更倾向于反乌托邦主义的人，比如那些在博客上对剑桥分析公司愤愤不平的人。双方都认为目前计算机的表现优于我们，或者它们很快就会在大量的工作中比我们做得更加出色。\n\n媒体不遗余力地渲染说，我们正在经历一场巨变，算法将大有作为。从COMPAS算法、剑桥分析公司到谷歌和脸书的定向广告的威力，所有报道无不提到人工智能（AI）的潜在危险。\n\n然而到目前为止我发现的却是另外一番景象。更仔细地研究了剑桥分析公司和政治人格之后，我发现算法的准确性存在一些根本局限。这些局限与我自己对人类行为进行建模时所看到的问题如出一辙。我在应用数学领域耕耘了20多年，使用过回归模型、神经网络、机器学习、主成分分析法以及许多其他媒体日益关注的工具。也就是在这段时间里，我逐渐意识到，当需要理解这个世界的时候，数学模型通常战胜不了人类。\n\n第一部分 算在视我数据做了什么？\n\n63","previous_page":62,"next_page":64}