"We call AI a mirror of our thoughts, but that reflection comes at a hidden cost."
"This article reveals the invisible labor behind AI's intelligence, where low-paid workers in the Global South train systems through judgment and trauma."
"It challenges the ethics of an industry that profits from human suffering while keeping those who make AI possible out of sight."
AI systems depend on invisible human labor for training, including labeling, judgment, and content moderation performed largely by low-paid workers in the Global South. Those workers encounter disturbing and traumatic material as part of their jobs and often lack adequate mental health support or fair compensation. Corporations extract commercial value from the resulting models while frontline laborers remain unseen and underpaid. This dynamic reinforces global inequalities and raises serious ethical concerns about exploitation, accountability, and transparency. Meaningful remedies include fair pay, labor protections, mental health resources, and supply-chain transparency to restore dignity and equity.
Read at UX Magazine
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