Regulation, Ethics, and Lessons from AI Failures
AI systems don’t exist in isolation — they affect jobs, privacy, safety, and even democracy. In this chapter, you'll explore AI regulation, ethical challenges, and major real-world AI failures. Understanding risk is essential for building responsible AI systems.
Explore global AI regulations, high-risk categories, copyright concerns, deepfakes, and how governments are responding to rapid AI development.
Start Session 1 →Analyze major AI failures in aviation, hiring, healthcare, and predictive policing. Identify root causes and extract lessons for better AI design.
Start Session 2 →Powerful AI systems require powerful responsibility. Good engineers don’t just ask “Can we build this?” — they ask “Should we?” and “What could go wrong?”