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Can we train AI to choose safety over speed?
United States🏛️ PoliticsCenter6 hr. ago

Can we train AI to choose safety over speed?

As extreme weather events increase due to climate change, delivery workers face difficult choices between safety and income. In Mumbai, quick-commerce platforms use AI-driven weather forecasts to manage demand during heavy rains, while workers navigate flooded streets. Platforms like Zomato and DoorDash rely on real-time data and algorithmic predictions to adjust pricing and incentives, but critics argue these systems prioritize profit over worker welfare. Researchers warn that rising temperatures and unpredictable weather patterns are putting delivery workers' physical limits under increasing strain. Studies show that while some platforms offer financial incentives for working in adverse conditions, these measures often fail to address underlying safety concerns. In Italy, a proposed heat bonus for couriers sparked backlash, highlighting tensions between economic necessity and worker protection.

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Rest of World logoRest of WorldIndependentCenter6 hr. ago
Can we train AI to choose safety over speed?

As extreme weather events increase due to climate change, delivery workers face difficult choices between safety and income. In Mumbai, quick-commerce platforms use AI-driven weather forecasts to manage demand during heavy rains, while workers navigate flooded streets. Platforms like Zomato and DoorDash rely on real-time data and algorithmic predictions to adjust pricing and incentives, but critics argue these systems prioritize profit over worker welfare. Researchers warn that rising temperatures and unpredictable weather patterns are putting delivery workers' physical limits under increasing strain. Studies show that while some platforms offer financial incentives for working in adverse conditions, these measures often fail to address underlying safety concerns. In Italy, a proposed heat bonus for couriers sparked backlash, highlighting tensions between economic necessity and worker protection.

Bias read (Center): The article presents a balanced view of the challenges faced by delivery workers during extreme weather, citing multiple studies and examples from different regions. It highlights both the technological advancements used by platforms and the ethical concerns raised by researchers and labor advocates

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