{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","id":"93d97921-01f1-48cb-976b-1fe80778bb33","uuid":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","normalized_title":"后工作时代平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","isbns":["9787532792511"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":145,"navigation_url":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33","title_url":"https://workshop.closeclaw.top/ai/title/%E5%90%8E%E5%B7%A5%E4%BD%9C%E6%97%B6%E4%BB%A3%EF%BC%9A%E5%B9%B3%E5%8F%B0%E8%B5%84%E6%9C%AC%E4%B8%BB%E4%B9%89%E6%97%B6%E4%BB%A3%E7%9A%84%E5%8A%B3%E5%8A%A8%E5%8A%9B","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/93d97921-01f1-48cb-976b-1fe80778bb33","page_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/page","search_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/search"},"page":{"printed_page":39,"pdf_page":43,"physical_index":43,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"329c93dcf03f1e4aa9ebd0f4be487c033439f654812022152a5738441bcd3bc8"},"chapter":"第一章硅谷的剩余劳动力","content":"认为自动化会带来灾难的人们为了支撑自己的观点，会指出已经在使用的特定创新。在呼叫中心，语音末尾的熟悉声音解释说，“您的呼叫可能会被录音，以用于培训目的”，现在也意味着该谈话内容正在被录音以用于机器学习。[3]麦当劳收购了人工智能初创公司Apprente,计划用聊天机器人的自动语音系统取代窗口接待顾客的服务员的声音。在零售领域，在英国、美国和瑞典等国家都出现了无人值守的自动化零售店。像AmazonGo这样的商店被委婉地称为“自行离去式购物”，将自动扫描和移动应用程序、面部识别技术相结合，从而将顾客的面孔和他们包里的商品相匹配。近年来，自动驾驶汽车对出租车司机构成的威胁已经成为一个引人担忧的主要因素。自动驾驶出租车已经在伦敦、新加坡和纽约进行了成功实验，而自动驾驶汽车在其他众多领域也已经投入使用。[4]自动驾驶的货物装卸车、托运卡车、农用车和送货机器人都已经在医院、工厂、农业和采矿业等环境下广泛使用。进入1980年代后，金融等“高技术”服务领域经历了明显的自动化这一过程自2008年以来极大地加速。2000年，高盛股票交易台有600名员工；到了2016年，除了2个员工以外，其他所有员工都被人工智能驱动的交易算法所取代。[1]\n\n[1] Ljubica Nedelkoska and Glenda Quintini, 'Automation, Skills Use and Training', OECD Social, Employment and Migration Working Papers, no. 202, 2018.\n\n[2] Jason Smith, 'Nowhere to Go: Automation Then and Now Part 2', Brooklyn Rail, April 2017.\n\n[3] Nick Dyer Witheford, Atle Mikkola Kjøsen, and James Steinhoff, Inhuman Power: Artificial Intelligence and the Future of Capitalism, Pluto, 2019, p. 83.\n\n[4] Gwyn Topham, 'It's Going to Be a Revolution: Driverless Cars in a London Trial', The Guardian, 3 October 2019.\n\n39","previous_page":38,"next_page":40}