Randomized algorithms utilize random numbers to influence their behavior, offering benefits like simplicity and speed, especially in scenarios where deterministic algorithms are inefficient or unknown. They are crucial in fields such as cryptography, numerical analysis, and machine learning, often providing probabilistic guarantees of performance or correctness.