GIGO stands for “Garbage In, Garbage Out.” In IT, data science, and AI, it means that if poor-quality or incorrect data is used in a system, the results or outputs will also be poor or incorrect. For example, if an AI model is trained on flawed data, it will make unreliable predictions. GIGO highlights the importance of using accurate, high-quality data to get reliable outcomes from technology.