Unobserved individual effects refer to latent characteristics or factors specific to individuals that influence their behavior or outcomes but are not directly measured or included in a model. These effects can lead to biased estimates in statistical models if not properly accounted for, often requiring techniques like fixed effects or random effects models to control for them.