So there are tasks where people just need to simply repeat the same phrase six times, so it's training AI to recognize different voices and things,” Kauffman told Motherboard.We've been seeing an increase in those requesters that are listing the work.” Kauffman is part of the large labor force powering AI, doing jobs that include looking through large datasets to label images, filter NSFW content, and annotate objects in images and videos.Meta writes “our future depends on our ability to leverage the newest AI technology at scale,” and Amazon encourages customers to “innovate faster with the most comprehensive set of AI and [Machine Learning] services.” “We're used to working on things that we just don't know exactly what they are for […] we know we're working on some of those big tech devices.However, we know that in so many different examples, whether we look at online content, how to operate an autonomous vehicle, or if we look at medical devices, human labor is being used to address the gaps in where that system really isn't able to work.” Humans like Kauffman, who help create the raw materials used to train these systems, rarely have insight into what their hard work will ultimately be used to create.Developing countries in the Global South are powering the development of AI systems by doing often low-wage beta testing, data annotating and labeling, and content moderation jobs, while countries in the Global North are the centers of power benefiting from this work."