Garbage In Garbage Out : A flaw in machine and human bias

The sources emphasize how the "Garbage In, Garbage Out" (GIGO) principle affects artificial intelligence. This principle, originating in early computer science, states that a system's output quality is directly determined by its input quality. Just as flawed ingredients ruin a recipe, inaccurate or low-quality data will lead to unreliable AI outputs. The sources stress the importance of high-quality data and effective prompting techniques, such as providing clear instructions and context, to ensure AI systems produce accurate and useful results. Garbage In, Garbage Out (perplexity.ai)