Understanding AI Black Boxes

In this podcast episode, Surya Ganguly, a neurodynamics researcher, and Vijay Pandey discuss the concept of AI black boxes. They emphasize the need to understand the patterns that AI systems predict, even though we currently lack a mathematical description of those patterns. Ganguly compares the black box nature of AI systems to the complexity of brain circuits, stating that AI systems present an opportunity to understand the principles of intelligence. They also highlight the importance of interpretability as a means of reducing complex models and developing a conceptual understanding of how they work.