Bias and Fairness: AI algorithms can perpetuate and amplify biases present while in the data used to train them, leading to conclusions and outputs that discriminate against specified men and women or teams. Addressing algorithmic bias and ensuring the fairness of AI systems is a important ethical obstacle.Health care provides a wealth of big data