Algorithmic bias can result in unfair treatment recommendations or misdiagnosis, especially in underrepresented populations. To mitigate this, it is essential to use diverse datasets that include a wide range of demographic groups. Regular audits of AI systems should be conducted to identify and correct any biases that may arise.
