Ethical Considerations in ML Development

Explore ethical considerations in machine learning to detect adversarial attacks, ensure model transparency, and maintain fairness. Learn how to apply similarity measures like Mean Squared Error for identifying adversarial examples and understand the importance of transparent AI systems in sensitive fields such as healthcare, finance, and hiring.