# Overview
## PublicAI - Building the Human Layer of AI PublicAI revolutionizes the AI ecosystem by delivering premium, human-generated AI training data while enabling individuals worldwide to monetize their expertise. Leveraging a decentralized network of worldwide verified contributors, our platform ensures unparalleled data quality through rigorous skill validation and a stake-slashing mechanism. As AI drives job displacement, PublicAI offers a way for everyone to stay involved and earn in the AI economy. Human-in-the-loop (HITL) isn’t just for AI training—it’s increasingly essential during the inference stage, where AI makes real-world decisions. As AI replaces routine jobs, humans must shift into higher-value roles alongside it. PublicAI is building a decentralized human layer for inference, enabling people to validate, review, and guide AI outputs in real time. This new role is independent from training data—it's about keeping humans meaningfully in the loop through the AI-caused job crisis. As concerns grow around AI models being trained on synthetic data,[ a recent study](https://www.nature.com/articles/s41586-024-07566-y) published in Nature confirms that AI models trained on AI-generated synthetic data experience performance collapse, highlighting the limitations of relying on AI-generated outputs for future model training. In response to this growing concern, PublicAI has rapidly emerged as a leader in Human-in-the-loop (HITL), generating over $14 million in client revenue and building a global workforce of 1 million contributors. By focusing on real, verified data, PublicAI ensures AI systems remain accurate, diverse, and grounded in human truth. Join us in shaping an equitable and transformative AI-powered world! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.publicai.io/publicai-documentation/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.