The article explores the growing demand for training data to power AI chatbots and the potential exploitation of humans in the process. As companies rush to develop advanced conversational AI, they require vast amounts of data to train their models. This has led to a “gold rush” for acquiring conversational data, often through crowdsourcing platforms that pay low wages to workers for transcribing and annotating conversations. The article raises concerns about the ethical implications of this practice, as workers may be exposed to disturbing or explicit content without proper safeguards. Additionally, there are questions about the quality and accuracy of the data, as well as the potential for biases to be introduced. The article highlights the need for greater transparency, ethical guidelines, and worker protections in this rapidly evolving field.
Source: https://abcnews.go.com/US/wireStory/ai-gold-rush-chatbot-training-data-run-human-110895258