AI is everywhere, but it’s not always fair. Unmask the issue of bias in artificial intelligence by exploring how AI systems can make unfair assumptions based on flawed data. Take a look at real-world examples, the root causes of bias, and offers practical solutions for creating more inclusive and fair AI systems. Learn about the importance of diverse teams, transparent processes, and ongoing monitoring to tackle bias and ensure AI benefits everyone.