A branch of artificial intelligence that allows systems to learn and improve from data without the need for constant human intervention. In digital psychology, this concept refers to how algorithms can interact with new environments and people without compromising the accuracy of their responses. While the achievement has significant benefits, such as improved performance of intelligent systems, there are concerns that invisible biases in algorithms affect how systems respond to new situations. These biases can lead to unfair or unequal decisions, raising questions about the psychological impact of these systems on people.