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Tech firms are relying on low-wage workers to power their AI models. That raises serious ethical questions about how the technology is being developed.
Stanford University researchers have released a report urging companies like OpenAI and Google to be more transparent about the data and human labor used to train their artificial intelligence (AI) models. The report highlights the importance of understanding the limitations and biases of AI systems, especially as they are increasingly used for decision-making and automation.
Artificial Intelligence: Foundation models are AI systems trained on massive datasets that can perform a variety of tasks from writing to coding. Companies that develop foundation models are driving the surge in generative AI, which since the launch of Microsoft-backed OpenAI's hit product ChatGPT has captivated businesses of all sizes.