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已破产精神航空员工数据竞购战持续
AI数据公司Micro1出价1250万美元收购精神航空的约6亿封邮件和聊天记录等数据，用于训练AI模型。此前谷歌以1000万美元竞得，但前员工反对出售。该数据包含敏感信息，引发隐私担忧。
AI推荐理由 报道了AI公司竞购破产航空公司员工数据的事件，涉及隐私和伦理问题，但信息来自第三方报道，需进一步核实。
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精神航空数据的命运在申请破产保护数月后仍未确定。
据航空网站Simply Flying报道，AI数据公司Micro1现已出价1250万美元收购该公司的大量电子邮件、Teams聊天记录、运营和员工生产力数据。
报道称，这些数据包括17000名员工产生的约6亿条电子邮件和聊天记录，以及1700万个OneDrive文件、2050万个SharePoint项目和超过3000万条录制的客户服务电话。如此庞大的信息库对于任何希望更有效训练AI模型的公司来说都是一座金矿。报道称，这些数据包括敏感的、数十年前的员工和工作场所记录。
但Micro1的出价是在谷歌以1000万美元在拍卖中收购这些数据数周后提出的，其出价击败了另一家AI训练公司Mercor的750万美元报价。
该航空公司前员工反对此次出售，上周他们的工会采取法律行动阻止该交易。
美国空乘协会-CWA国际主席Nelson继续代表精神航空5500多名空乘人员，他告诉《福布斯》，前空乘人员对精神航空试图在尚未支付其应计假期、病假和未付薪酬的情况下利用敏感数据获利感到不满。
然而，这类个人数据对谷歌等公司极具价值。这意味着AI模型可以在更现实的场景中训练。正在探索的一个选项是数据是否可以匿名化，这可能为让双方都满意提供一条前进之路。
本文首发于CSO。
人工智能数据隐私隐私安全市场行业
查看原文（中文正文为 AI 翻译）
The destiny of Spirit Airline’s data is still undecided, months after the company sought bankruptcy protection.
AI data company Micro1 has now offered $12.5 million to acquire a trove of the company’s emails, Teams chats, operations and employee productivity data, according to a report by aviation website Simply Flying,
It said the data includes about 600 million email and chat records generated by 17,000 employees, as well as 17 million OneDrive files, 20.5 million SharePoint items, and more than 30 million recorded customer service calls. Such a large repository of information is a gold mine to any company looking to train AI models more effectively. The report says that this data includes sensitive, decades-old employee and workplace records.
But Micro1’s offer comes weeks after Google acquired the data at auction, with its $10 million bid beating the $7.5 million offered by another AI training company, Mercor.
The airline’s former employees objected to the sale, and last week their unions took legal action to block the it.
Nelson, international president of the Association of Flight Attendants-CWA, which continues to represent more than 5,500 of Spirit’s flight attendants, told Forbes that former flight attendants were unhappy about Spirit attempting to cash in on sensitive data when they still have not been paid their accrued vacation time, sick leave, and outstanding compensation.
However, this type of personal data is extremely valuable to the likes of Google. It means that AI models can be trained in more realistic scenarios. One option that is being explored is whether the data can be anonymized, which may offer a way forward to keep both sides happy.
This article first appeared on CSO.
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