Algorithmic Transparency refers to the clarity and openness in how AI systems process data and generate decisions. It involves designing models that are interpretable, allowing stakeholders to understand, scrutinize, and trust the decision-making process. Enhancing transparency helps identify biases, ensure accountability, and foster ethical use of AI technologies in various applications.