{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"d6c4d009-0231-45d0-bf15-f2c76c35335c","title":"数字工厂","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787523600474","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"d6c4d009-0231-45d0-bf15-f2c76c35335c","id":"d6c4d009-0231-45d0-bf15-f2c76c35335c","uuid":"d6c4d009-0231-45d0-bf15-f2c76c35335c","title":"数字工厂","normalized_title":"数字工厂","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787523600474","isbns":["9787523600474"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":281,"navigation_url":"https://workshop.closeclaw.top/ai/book/d6c4d009-0231-45d0-bf15-f2c76c35335c","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E5%AD%97%E5%B7%A5%E5%8E%82","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/d6c4d009-0231-45d0-bf15-f2c76c35335c/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/d6c4d009-0231-45d0-bf15-f2c76c35335c/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/d6c4d009-0231-45d0-bf15-f2c76c35335c","page_url":"https://workshop.closeclaw.top/api/ai/books/d6c4d009-0231-45d0-bf15-f2c76c35335c/page","search_url":"https://workshop.closeclaw.top/api/ai/books/d6c4d009-0231-45d0-bf15-f2c76c35335c/search"},"page":{"printed_page":245,"pdf_page":249,"physical_index":249,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"d27af6fe707a075c14a290e47ad587b9db255718c88a2e52fbd69a1e80651d93"},"chapter":"第4章隐形的工厂：社交媒体","content":"在本书调查的不同场所，数字技术的影响和力量以及人力的持续性都是显而易见的。在这一点上，亚马逊配送中心就是一个很好的例证：近些年来，亚马逊为配送中心引进了成千上万的机器人，执行自动挪移货架的任务。与此同时，公司还雇用了更多的工人与这些机器协同作业。众包工人可以训练机器学习应用软件，内容审核员会为社交媒体删除不需要的内容——这些令人厌烦的工作为我们提供了更多的例子，证明了当前自动化的局限性以及自动化背后对劳动力的需求。上述两个职业也是隐藏在所谓的算法背后的劳动力典范。各个领域都有大量的例子表明，表面呈现为自动化的流程或人工智能应用程序背后，都有人类工人在训练软件、评估其工作、解决困难问题，或者实际上只有人类在劳动，只不过完全被算法应用程序所掩盖。虽然机器学习算法的能力和复杂的机器人有许多令人惊叹的地方，但也有一些生动的例子表明算法有可能误解最简单的指令，让机器人领域遭遇严重挫折。这说明，即便是在一些被人认为很容易实现自动化的领域里，数字驱动的自动化在很长一段时间内也无法取代人类劳动。在撰写本文时，算法管理的崛起、劳动控制与测量的新形式、数字技术带来的新的劳动地理分布、新的性别与种族化分工、新的社会两极分化以及偶然且灵活的劳动力带来的影响，远比因为机器人而失去工\n\n|结论平台即工厂\n\n245","previous_page":244,"next_page":246}