Two outlets report that AI systems can sometimes forecast how a person will respond to survey questions, but doing so does not equal understanding the reasons behind those responses. The discussion contrasts “prediction” with “understanding,” noting that human behavior can shift for many reasons, including factors that may not be captured in survey data alone. The Conversation describes this idea in terms of “silicon sampling,” an approach that suggests easier answers to complex questions about behavior. It emphasizes that human decision-making involves context and changing conditions, so matching or forecasting responses is not equivalent to explaining why someone thinks or acts as they do. Phys.org frames the issue within social science research, highlighting that experiments are commonly used to investigate what causes changes in minds or behavior. Together, the sources stress that while AI may anticipate survey outcomes, researchers still rely on experimental methods to determine mechanisms driving behavior and to interpret results more rigorously.