Arthur Samuel was a pioneering figure in artificial intelligence, particularly known for his work on machine learning. In the 1950s, he developed a checkers-playing program that was among the first to demonstrate the concept of a computer learning from experience. Samuel’s program used a technique called ‘self-play,’ where it improved its performance by playing numerous games against itself. This work was significant because it introduced the idea of machines not just following pre-programmed instructions, but actually learning and adapting, laying foundational concepts for future AI development.