What happens when an AI system makes unfair or unbalanced decisions — like favoring certain job applicants or struggling to recognize darker skin tones? That’s bias in AI.
In this episode of In Simple Terms with Satish, we’ll explore what bias in AI really means, why it happens, and how it shows up in everyday life. Through simple analogies — like children learning from limited examples or classrooms where only some students get called on — you’ll see how biased data leads to biased results.
From hiring tools to healthcare to facial recognition, discover why AI bias matters and why fairness in data is so important.
No jargon. No confusion. Just clarity.