来自英国、荷兰及欧盟其他国家的约241,000名Uber司机已在阿姆斯特丹地区法院发起集体诉讼，指控该公司使用不透明的人工智能算法设定薪酬并分配工作任务1。诉讼方声称Uber的动态定价系统违反了GDPR数据保护法规，并要求获得数十亿美元赔偿并停止该行为1。
司机们指出这一算法给他们的收入造成了实质性影响。英国驾驶员表示自2023年该系统推出以来，年收入下降了约5,000英镑1。牛津大学2025年的研究也发现，动态算法推出后驾驶员收入大幅下降1。一些司机反映存在差别定价现象，同一份工作会根据司机历史接单情况显示不同报价，他们怀疑这是算法基于过往行为模式进行的有针对性操纵1。司机Mohammed Shirwa形容这种情况为"就像有人一直在看着你，知道你的弱点——老板就是算法"1。
这并非Uber首次因其算法实践受到审查。荷兰数据保护机构因Uber自动停用司机账户的行为对其罚款825万欧元1。早在2023年，Uber首席执行官Dara Khosrowshahi曾表示该公司应该"根据不同驾驶员的偏好或他们表现出的行为模式来定向分配不同的行程"1，而此类声明进一步加强了司机们关于算法具有针对性的指控。
Approximately 241,000 drivers from the European Union and United Kingdom have initiated a landmark class action lawsuit against Uber, alleging the company deployed opaque artificial intelligence algorithms to set compensation and allocate work in violation of data protection laws.1 The case, filed at Amsterdam Regional Court, seeks damages in the billions and demands the company cease the contested practices.1
The drivers contend that Uber's dynamic pricing algorithm, introduced in 2023, has substantially reduced their earnings.1 British drivers reported annual income declines of roughly 5,000 pounds since the system's rollout.1 The lawsuit centers on alleged violations of GDPR regulations, with workers characterizing the algorithm's decision-making process as lacking transparency and human oversight.1 In a separate enforcement action, Dutch data protection authorities fined Uber 8.25 million euros last month for automatically disabling driver accounts without adequate justification.1
The grievances reflect broader concerns about algorithmic management in the gig economy. Driver Mohammed Shirwa described the experience as surveillance-based, stating: "It's like having someone constantly watching you, knowing your weaknesses—the boss is the algorithm."1 Another driver, Kola Oba, noted that identical work was quoted at different rates—27 pounds versus 23 pounds—and suspected the algorithm had flagged him as willing to accept lower pay after he previously accepted discounted assignments.1 A 2025 study from Oxford University found that driver income fell sharply following the algorithm's deployment.1
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