One possible approach could be to have multiple annotators and compare their results to find and correct biases. Another method could be to use standardized guidelines and training to minimize human bias in the first place. Also, constantly validating and recalibrating the annotations could help.
It might involve using advanced algorithms and data analytics to identify and adjust for biases. This could be based on large datasets and machine learning techniques.