Unbiasedness refers to the property of an estimator in statistics where its expected value equals the true parameter value being estimated, ensuring that it does not systematically overestimate or underestimate the parameter. This concept is crucial for ensuring the reliability and validity of statistical inference and is a foundational principle in the development and evaluation of statistical models.