AI Against Humanity
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Equity 📅 March 19, 2026

DoorDash's Tasks App Raises Ethical Concerns

DoorDash's new 'Tasks' app allows couriers to earn money by submitting videos for AI training, raising ethical concerns about labor exploitation. This initiative reflects a growing trend in the gig economy.

DoorDash has introduced a new stand-alone app called 'Tasks' that allows delivery couriers to earn money by completing assignments aimed at training AI and robotic systems. Couriers can engage in various tasks, such as filming themselves performing everyday activities or capturing images to help improve AI models used by DoorDash and its partners in sectors like retail and hospitality. This initiative is part of DoorDash's strategy to leverage its vast workforce of over 8 million Dashers to gather data that can enhance AI understanding of the physical world. The Tasks app is currently available in select U.S. locations, excluding major cities like California and New York City, with plans for future expansion. Other companies, such as Uber, have also begun similar programs, raising concerns about the ethical implications of using gig workers for AI training and the potential exploitation of their labor. The reliance on gig economy workers for data collection highlights the broader societal risks of AI deployment, including issues of privacy, labor rights, and the commodification of personal data.

Why This Matters

This article matters because it highlights the ethical implications of using gig economy workers to train AI systems, raising concerns about exploitation and privacy. As AI technologies become more integrated into society, understanding these risks is crucial for ensuring fair labor practices and protecting workers' rights. The reliance on couriers for data collection also points to broader societal issues regarding the commodification of personal labor and the potential for misuse of collected data.

Original Source

DoorDash launches a new ‘Tasks’ app that pays couriers to submit videos to train AI

Read the original source at techcrunch.com ↗

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