🛡️ Module 3: Safety and Robustness in AI скачать в хорошем качестве

🛡️ Module 3: Safety and Robustness in AI

What happens when AI systems go wrong — and how can we build systems that don’t break under pressure? In this module, we’ll explore why safety and robustness are critical in AI development. You’ll learn how models can behave unpredictably in unfamiliar situations, how adversarial examples trick AI, and what it takes to build systems that are reliable, stable, and safe in the real world. By the end, you’ll have a better grasp of how to think critically about AI deployment — not just when it works, but when it doesn’t. Let’s build AI that we can trust.