{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"56fa816e-042b-40dd-9a08-6bc236c079d8","title":"人工智能政治哲学","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787208189485","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"56fa816e-042b-40dd-9a08-6bc236c079d8","id":"56fa816e-042b-40dd-9a08-6bc236c079d8","uuid":"56fa816e-042b-40dd-9a08-6bc236c079d8","title":"人工智能政治哲学","normalized_title":"人工智能政治哲学","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787208189485","isbns":["9787208189485"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":261,"navigation_url":"https://workshop.closeclaw.top/ai/book/56fa816e-042b-40dd-9a08-6bc236c079d8","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%94%BF%E6%B2%BB%E5%93%B2%E5%AD%A6","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/56fa816e-042b-40dd-9a08-6bc236c079d8/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/56fa816e-042b-40dd-9a08-6bc236c079d8/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/56fa816e-042b-40dd-9a08-6bc236c079d8","page_url":"https://workshop.closeclaw.top/api/ai/books/56fa816e-042b-40dd-9a08-6bc236c079d8/page","search_url":"https://workshop.closeclaw.top/api/ai/books/56fa816e-042b-40dd-9a08-6bc236c079d8/search"},"page":{"printed_page":71,"pdf_page":87,"physical_index":87,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"9d2dd1dc55c15f498c7b37d6d86a8f0facb8c1df27fd38e92114319813a0bcbd"},"chapter":"第三章 平等与公正：人工智能的偏见与歧视","content":"另一种引入历史的方式是利用历史来警告人们，目前的不公正很可能不如历史上的不公正那么糟糕，但在未来可能会导致更严重的压迫形式，必须在达到这一点之前加以制止。在这种情形下，种族主义和当前的压迫形式被认为必然会导致一个对特定种族背景的人进行系统性压迫和剥削的社会，换句话说，就是基于殖民和奴隶制思想的社会。这就是为什么需要制止人工智能中的种族主义以及通过人工智能实施的种族主义。另一个例子是性别：人工智能中的性别偏见被视为历史形式的压迫和父权制的延续，并且被视为可能导致新形式的压迫和父权制的问题。例如，互联网上的语言和特定语料库中可能存在偏见（如将医生等特定职业与男性联系在一起的偏见)，如果这种偏见被输入到用于自然语言处理的人工智能和数据科学工具中（Caliskan，Bryson，andNarayanan 2017；Sun et al. 2019)，那么这将延续文本中存在的历史偏见，并且有可能在未来加剧这种偏见。\n\n然而，关注的焦点往往是历史偏见的延续。例如，在评论预测性警务时，克劳福德（Crawford）和卡洛（Calo)(Crawford and\n\n第三章 平等与公正：人工智能的偏见与歧视\n\n071","previous_page":70,"next_page":72}