| Sumario: | The article focuses on the often-overlooked labor of data workers who train artificial intelligence (AI) systems, highlighting their exploitation and efforts at organized resistance. It discusses the tragic incident involving an Uber self-driving car that failed to recognize a pedestrian due to limitations in its training data, illustrating the gap between human understanding and machine learning. The piece emphasizes that AI relies heavily on the labor of individuals from various global locations, who perform tasks such as labeling and moderating content under challenging conditions, often without adequate support or recognition. It also notes the growing movement among these workers to advocate for better working conditions and visibility, asserting that the future of AI should center on the dignity and rights of these laborers rather than the technology itself.
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