As AI becomes more integrated into critical decisions (hiring, loans, healthcare), ensuring fairness and transparency is crucial. This question explores ethical frameworks, bias detection techniques, and responsible AI practices.

Contributors can discuss algorithmic fairness metrics, diverse training data, regular audits, and inclusive development teams. Real-world examples of AI bias and mitigation strategies will help build awareness.

What processes and tools are organizations implementing to catch bias before deployment? How do we balance innovation with ethical responsibility?