The article discusses the growing demand for human-generated data to train AI chatbots and language models. As AI systems become more advanced, they require vast amounts of training data to learn from. Companies are racing to gather this data, often by hiring humans to engage in conversations with chatbots or write content for them to analyze. This has created a new industry of “data labelers” who are paid to provide the raw material for AI training. However, there are concerns about the quality and consistency of this data, as well as the working conditions and compensation for the labelers. The article highlights the tension between the rapid development of AI and the human labor required to fuel it, raising questions about the ethics and sustainability of this approach.
Source: https://abcnews.go.com/Business/wireStory/ai-gold-rush-chatbot-training-data-run-human-110895259