Fairness:

Fairness in AI ensures that AI systems treat everyone equally, without bias against any gender, race, or ethnicity. It aims to prevent discrimination and promote equality.

Example - Application Tracking Systems (ATS): If an ATS used in hiring favors certain demographics because of its training data, it's crucial to address this bias. Ensuring fairness in such AI models helps create a more inclusive society.