AI ethics is the study of moral principles and guidelines to ensure AI is developed and used responsibly, fairly, and without harm.

In this topic, you will learn about how AI bias can lead to discriminatory outcomes in different areas. AI in recruitment may result in unfair hiring decisions if trained on biased data, favouring certain groups over others. Facial recognition technology can struggle with accuracy for specific ethnic backgrounds, leading to misidentification and unfair treatment. In banking, biased AI models might deny loans to particular groups due to past discriminatory lending practices. Similarly, AI in healthcare may not perform as well for underrepresented groups, causing incorrect or delayed diagnoses. Understanding these biases is crucial to ensuring fairness in AI systems.