To interact and integrate fruitfully with artificial intelligence, it is necessary to explore and analyze the relationships we desire or expect to create with it. Unlike other living beings, human development requires extended periods of nurturing and socialization. Our cognitive, affective, and behavioral capabilities are shaped through social interactions. Complex phenomena such as communication, thinking skills, social interaction, and emotional regulation are learned through different learning mechanisms by the human brain. Recent advancements in artificial intelligence can imitate some of these capacities to the point where people appreciate AI as more capable of providing an experience similar to human interaction. If this improves without reflection or regulation, it could lead to new generations recognizing machines as social beings, akin to the “digital natives” theories, and lead to an unexpected experiment on the effects of AI. While it is understood that machines learn from human interactions, it is not yet properly recognized that humans can also learn from machines. This learning raises numerous questions about how AI designers will decide what people should learn, and how AI should communicate, assist, and interact with humans. Additionally, learning is not a linear process and occurs at different levels according to each individual’s life stage. Therefore, teaching about grief to a child is not the same as teaching an adolescent, in terms of knowledge and communication styles. Thus, it is important to note that interaction between AI agents and people could promote ideas, emotions, or behaviors in unexpected ways, which have the potential to be beneficial or harmful in human and psychological development.