A sobering talk about the need for ethical data for AI models with Phoebe Yao

Phoebe Yao, founder and CEO of Pareto.ai, discusses her company's mission to create a fair and ethical data labeling platform for AI training. She highlights the ethical issues prevalent in the data labeling industry, such as unfair compensation and lack of communication between requesters and workers, using the example of Remote Tasks cutting off access for workers in several African countries. Pareto.ai aims to address these issues by ensuring fair treatment, respect, and high-quality working environments for data labelers, including domain experts like software engineers and doctors. The conversation also explores the evolving nature of data labeling work, the potential for AI to displace jobs, and the importance of adaptability and continuous learning for workers in the AI era, as well as the need for ethical consumerism in AI.