Latent variables are unobserved variables that influence observable phenomena in statistical models and machine learning. In AI, they are often used to represent hidden factors that affect data, such as user preferences in recommendation systems or topics in text documents. Techniques like latent variable models help uncover these hidden structures, leading to more effective predictions and analyses.