AI Ethics & Safety: Free Lessons for Beginners
Learn AI ethics and safety in bite-sized lessons. Covers hallucinations, bias, privacy, regulations, and responsible AI practices. Free to start.
AI Hallucinations Explained: What AI Gets Wrong
Why do AI models make things up? Learn how hallucinations, fabricated sources, and confident errors happen — and why AI honesty is a design challenge.
3 min readAI Bias Explained: How Training Data Skews Output
Discover how societal biases in training data lead to biased AI outputs in hiring, lending, and content. Learn to spot algorithmic bias and why it matters.
4 min readAI Data Privacy: What Happens to Your Data
What happens when you share data with ChatGPT and other AI tools? Learn about privacy policies, training data usage, and how to keep your data safe.
3 min readWhen Not to Use AI: Limits, Risks & Blind Spots
AI isn't always the answer. Learn when not to use AI — from high-stakes decisions and legal risks to domains where human judgment should come first.
4 min readHow to Fact-Check AI: Spot & Fix Bad Output
Practical techniques for fact-checking AI output, catching hallucinations, and verifying claims. Learn to spot errors before you trust AI-generated content.
4 min readAI Regulations Explained: Rules for Using AI
Navigate the AI regulatory landscape — from the EU AI Act and US state laws to acceptable use policies. A beginner-friendly guide to AI compliance.
4 min readResponsible AI in Practice: Guardrails for Your Team
Put responsible AI into action. Learn to build guardrails, set up human-in-the-loop workflows, and create an AI use policy your team can follow today.
4 min read