David Nelson - What is the AI Black Box? In simple terms, the black box problem in AI refers to the inability to fully understand or explain the internal decision-making process of complex algorithms. Deep learning models, particularly neural networks, are known for their ability to process massive amounts of data and deliver accurate predictions or classifications. However, their internal workings are often so intricate that even experts struggle to explain how they arrive at specific conclusions.
