The Human Cost of AI: Data Annotation's Growing Importance

The article highlights the often-overlooked dependence of AI on human-generated training data, emphasizing the crucial role of data annotation. This underscores the potential ethical and economic implications associated with the need for a large and often low-skilled workforce.

• •AI models require vast amounts of labeled data for training.
• •Data annotation creates a significant demand for human labor.
• •This raises questions about fair labor practices and economic equity.