Algorithm transparency refers to the ability to understand and interpret how an algorithm makes decisions or recommendations. It involves providing visibility into the inner workings of the algorithm, including the data inputs, decision-making process, and potential biases. Algorithm transparency is important for ensuring fairness, accountability, and trustworthiness of algorithms, particularly in high-stakes applications such as healthcare, finance, and law enforcement. It also enables individuals to better understand and contest any decisions made by the algorithm that may affect them.