{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","title":"权力的数据伦理学大数据与人工智能时代的人本方法新解","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787313310330","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","id":"1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","uuid":"1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","title":"权力的数据伦理学大数据与人工智能时代的人本方法新解","normalized_title":"权力的数据伦理学大数据与人工智能时代的人本方法新解","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787313310330","isbns":["9787313310330"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":266,"navigation_url":"https://workshop.closeclaw.top/ai/book/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","title_url":"https://workshop.closeclaw.top/ai/title/%E6%9D%83%E5%8A%9B%E7%9A%84%E6%95%B0%E6%8D%AE%E4%BC%A6%E7%90%86%E5%AD%A6%E5%A4%A7%E6%95%B0%E6%8D%AE%E4%B8%8E%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%97%B6%E4%BB%A3%E7%9A%84%E4%BA%BA%E6%9C%AC%E6%96%B9%E6%B3%95%E6%96%B0%E8%A7%A3","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed","page_url":"https://workshop.closeclaw.top/api/ai/books/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed/page","search_url":"https://workshop.closeclaw.top/api/ai/books/1794a2f7-7f5b-4e9a-ab89-fc95e5b474ed/search"},"page":{"printed_page":245,"pdf_page":259,"physical_index":259,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"566dd67cc44e3a5f63ccc6d0b85b7506dfa8ab55ab46a64b7304178ad74cb3aa"},"chapter":"第6章","content":"可信人工智能67,130,136,138,139，164\n\n跨欧洲运输网络(TEN-T)27\n\n流动监控38,44\n\n流动空间8.35,36\n\n伦理调节器209,212,213\n\n伦理设计59,67,74.75,96,142\n\n伦理治理17.50,65,72,73,96,115. 119,120.134,196,197,208\n\n命运机器37.112\n\n欧盟人工智能高级别专家组(HLEG)91,130,136-143\n\n欧洲价值30.137,139,143\n\n人本道德7. 171.173 -175,185、186.188.190.192.193.195\n\n人本方法1,2.5-9,15.16,98.138.141,168-173,175,179,182,191-193,195-197,208\n\n人1智能伦理66.72.76.93.95.96.98,101,104, 108,133,137,138,191.208\n\n人类能动性16,96.99.101.129,141,166.169.171.195.204.209.213\n\n人类能动者102.106.176\n\n社会道德7.174.175.185-188.190,192.195\n\n社会技术过程13,47,182\n\n社会技术系统6.8,11,12,16,50.53-55.63,67.71,91.107.116-118,124.143.160,168,173.181,184,186.196.197,203.206,210,212\n\n时空压缩 35\n\n数据副本37,38,43数据利益 16,96.113-115,124-128,130-133,139,159,160,197,212\n\n数据伦理1-3,5-13.15.16,21.30-   \n32.37,39-41,44-46,50,51.58-   \n60,64,65,73,74,77–79,83.87,   \n96,110, 114.118,134, 135, 152,   \n158,159.161,163-170,172,173,   \n179-186.190-196,198,203-209,   \n212\n\n数据伦理协商空间32,135.196,203\n\n数据文化5.8.11,15,17.41,73,77.113,114,139,142.153,154,159-161.194-196,207,210\n\n数据污染66.68-72\n\n数据信托76.109.118.211\n\n数字单一市场28.29.118\n\n《通用数据保护条例》(GDPR)31.32,70.76,79.98.99,109,137,140,141.157.158.188\n\n文化价值11.67,122.135,141.144,147.159,164\n\n显式社会 108.171\n\n协商空间7,46,47,135.160,166, 168,169.182.196,209\n\n信息技术(1T) 14.22.31.35.75.157\n\n信息社会21,32-36,62,63,119、170.172\n\n隐私设计67,74,75,123,134,158\n\n专家型系统87-89,96,97,206\n\n索 引\n\n245","previous_page":244,"next_page":246}