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The article discusses how AI and automation in logistics are negatively impacting low-paid workers. It highlights the experiences of workers like Marc Francis, who faced increased exploitation due to flawed automated systems. The focus is on how algorithmic management often prioritizes productivity over worker welfare, leading to unrealistic expectations and job insecurity.
A report from the Global Partnership on Artificial Intelligence reveals that companies like Amazon use AI to set unattainable performance targets, undermining pay and working conditions. The article emphasizes that rather than replacing jobs, AI is transforming the nature of work, making human labor more robotic and less autonomous. It calls for better regulation and transparency in the use of AI technologies in the workplace.
• AI in logistics leads to unrealistic performance targets for workers.
• Automation is transforming human labor into robotic-like tasks.
This term is relevant as it describes how companies like Amazon manage their workforce through automated systems that set performance targets.
The article discusses how AI surveillance contributes to a lack of agency among workers, making it difficult to challenge automated decisions.
In the context of the article, companies like Amazon harvest data from workers to set performance targets, often without their consent.
The article highlights issues faced by its drivers due to flawed automated systems that impact their pay and working conditions.
The article discusses how Amazon's use of AI and automation has led to significant negative impacts on its workforce.
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