The "greedy choice property" is a concept in optimization problems where a locally optimal choice is made at each step with the hope of finding a global optimum. This approach assumes that by selecting the best option available at the moment, the overall solution will be improved. It is commonly used in algorithms for problems like minimum spanning trees and activity selection. In greedy algorithms, the decision made does not depend on previous choices, allowing for a straightforward implementation. However, the greedy choice property does not guarantee an optimal solution for all problems, making it essential to analyze whether it applies to a specific situation before using it.