Intermediate
AI Safety, Ethics & Society
AI is reshaping the world — but who is responsible when it fails? This track examines the real risks, documented harms, and emerging safeguards around artificial intelligence: bias, privacy, misinformation, governance, and what it means to use AI responsibly.
01
What Is AI Safety and Why It Matters
AI safety is not a distant concern for science fiction fans — it is an active field of research, policy, and law. This lesson explains what AI safety researchers actually study, the three categories of AI risk they focus on, and why the field went from academic niche to global priority between 2022 and 2025.
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02
AI Bias: How AI Systems Learn to Be Unfair
AI bias is not about AI having opinions. It is about systems trained on imperfect human data reproducing imperfect human decisions — at scale, consistently, and often invisibly. This lesson covers what bias is, where it comes from, three documented cases of real harm, and why the fairness problem has no clean technical solution.
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