Guiding Principle - Fairness

The video discusses the principle of fairness in responsible AI, emphasizing the need to treat all individuals equally regardless of their background. It provides examples of fairness in applications like bank loans, medical treatment, and employment. A case study of Amazon's AI recruiting tool highlights gender bias issues. Guidelines for training AI models to ensure fairness are provided, along with sample exam questions on the topic.

What does fairness mean in the context of responsible AI?

How should bank loan approvals be determined according to the principle of fairness?

What example was given regarding bias in AI recruiting tools?

Why is it important to have diverse data when training AI models?

What are the implications of monitoring people of certain ethnicities in retail stores?