Uzu013ai 2021 |best| [Working | WORKFLOW]

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| Issue | Manifestation | Implication | |-------|----------------|------------| | | Domains like medical imaging, low‑resource languages, and scientific data lack large labeled corpora. | Limits applicability of supervised models. | | Annotation bias | Human annotators bring cultural, demographic, and task‑specific biases. | Propagates unfair outcomes. | | Environmental cost | Training large models consumes significant electricity and carbon. | Raises sustainability concerns. | | Intellectual property | Proprietary datasets restrict reproducibility. | Hinders open science. | uzu013ai 2021

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: Often represents a manufacturer code, a specific factory location, or a product line prefix. | Limits applicability of supervised models