Core Viewpoint - A group of Amazon employees has filed a lawsuit alleging systematic discrimination against disabled workers, partly due to the company's use of artificial intelligence in handling accommodation requests [1][2]. Group 1: Lawsuit Details - Nine Amazon employees from various divisions and states filed a class action complaint in a federal district court in Seattle on October 20, claiming that Amazon unlawfully denies nearly all medical requests for remote work as part of its return to office policy [2]. - The lawsuit alleges that Amazon terminates employees or forces them to take unpaid leave instead of granting medical accommodation requests [2]. - The plaintiffs are represented by the law firm Harman Green PC, which represents about two dozen disabled Amazon employees overall [3]. Group 2: Company Response - Amazon has filed a response opposing the complaint, arguing that the employees' case is "fundamentally flawed" and claims that most allegations are untrue and misleading [3]. - Amazon's spokesperson stated that the company plans to demonstrate the inaccuracies of the claims through the legal process [3]. Group 3: Context of Discrimination Claims - This lawsuit is part of a broader trend of employee discrimination lawsuits against Amazon, including a recent complaint from New Jersey's attorney general regarding discrimination against disabled and pregnant warehouse workers [5]. - In 2022, the New York State Division of Human Rights filed a similar lawsuit, alleging that Amazon's policies force disabled and pregnant workers to take unpaid leave rather than accommodate them [5]. - Over the past decade, numerous cases have been filed against Amazon alleging discrimination based on disability, race, and gender, with mixed outcomes [6]. Group 4: Employee Allegations - The employees involved in the lawsuit claim that Amazon failed to grant necessary medical accommodations for their health and safety [8]. - The complaint highlights that the requirement for employees to use the "A to Z" app for accommodation requests led to technical issues and significant delays [8].