AI is transforming industries but poses risks of bias and inequality. Trained on flawed data, AI can perpetuate discrimination in areas like hiring, policing, and lending. Ensuring fairness requires diverse datasets, bias mitigation, transparency, and accountability. By addressing these challenges, we can harness AI's potential while promoting equitable outcomes across all sectors.