Bias in AI remains a significant challenge, but awareness alone is not enough. This session focuses on actionable strategies to detect and mitigate bias at every stage of AI development, from design to deployment. Through real-world examples and case studies, we’ll explore how building diverse datasets, applying inclusive methodologies, and leveraging bias-aware tools can create fair and equitable AI solutions that work for everyone.