Bias and fairness in AI are critical issues that demand attention. AI algorithms can inadvertently encode biases, leading to discriminatory outcomes. Ensuring fairness in AI decision-making is essential to mitigate harm and uphold ethical standards. Transparency, diverse data, and algorithmic fairness techniques play crucial roles in addressing biases and promoting a more inclusive and equitable AI ecosystem.