Garbage in, garbage out" (GIGO) is a well-known principle in AI and data processing, meaning that the quality of the output from any system, including AI models, directly depends on the quality of the input data. If you feed flawed, inaccurate, or low-quality data into an AI model, you'll likely get flawed, inaccurate, or low-quality results.