Collector Feedback Bias occurs when the data collection process is influenced by the expectations or prior beliefs of the data collector, potentially leading to skewed or inaccurate data. This bias can be particularly problematic in research and machine learning, where it may cause models to learn from biased data and produce unreliable results.