{"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":78,"pdf_page":82,"physical_index":82,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"133e670931c0786eea7fbbdcad0bf911c63af427bd29cb2d2e4f40e5a8cd85e2"},"chapter":"第三章作为服务的人类","content":"就像美国国防部的Maven项目一样，当微工作支持的技术服务于明确的压迫目的的时候，这就成为一个特殊的问题。再举一个情况极为严峻的例子，任务发布者没有义务表明面部标记任务是为了训练面部识别算法，这种信息隐藏在平台上很常见。该软件以优生理论为基础，用于捕捉人脸，并将其与现有数据库中的照片进行比对，目的是为了对人进行识别和定位，通常会产生具有强烈种族主义特征的结果。[2]作为城市空间军事化的最新战略，面部识别技术已经引发了警察对贫困社区的大扫荡，尤其是在洛杉矶等大型“枷锁城市”中。自2009年以来，洛杉矶警察局已经使用面部识别技术大约3万多次，通常是为了保护更加富裕的飞地免受“帮派犯罪”的侵害。 [3]\n\n为这些专制性的噩梦提供动力的任务是Mechanical\n\n[1] Paola Tubaro, Antonio A. Casilli, and Marion Coville, The Trainer, the Verifier, the Imitator: Three Ways in Which Human Platform Workers Support Artificial Intelligence', Big Data and Society, January 2020, p. 6.\n\n[2] See Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort, 'When the Algorithm Itself Is a Racist: Diagnosing Ethical Harm in the Basic Components of Software', International Journal of Communication 10,2016.\n\n[3] Kevin Rector and Richard Winton, 'Despite Past Denials, LAPD Has Used Facial Recognition Software 30,000 Times in Last Decade, Records Show', Los Angeles Times, 21 September 2020.\n\n78","previous_page":77,"next_page":79}