Aleksander Madry

Aleksander Madry, a faculty member at MIT specializing in machine learning robustness, dives into the intriguing world of adversarial examples. He argues these examples shouldn't be seen as mere bugs but as inherent features of AI systems. The conversation highlights the mismatch between human expectations and machine perception, stressing the need for new methodologies to improve interpretability. Madry also shares insights on using robust classifiers for image synthesis and navigates the dual nature of AI technologies, urging a deeper understanding of their implications.