🧠 Bias, Fairness & Cultural Impact 🧠
Who gets heard in AI — and who gets left out?
AI systems don’t just reflect data. They reflect power. This section looks at how bias, inequality, and cultural dominance shape the models we interact with every day — and how to build systems that are more just, inclusive, and humane. From language to labor to representation, this is where AI meets the real world.
AI in Hiring: Efficiency or Bias at Scale?
AI hiring tools promise speed and fairness — but risk bias and opacity. Learn how to navigate the ethics of automation in recruitment.