#CommunityAMA Black Box Issue in Understanding AI Decisions: The "black box" issue refers to the lack of transparency in how AI models, especially complex ones like deep learning systems, make decisions. These models can process massive amounts of data and produce accurate results, but their internal logic is often opaque—even to their developers. This raises concerns in critical areas like finance, healthcare, and law, where understanding the reasoning behind AI decisions is essential for trust, accountability, and compliance.