The plan also calls for federal agencies to provide consumers with steps they can take if an appraisal is lower than expected and demands the establishment of quality-control standards for automated valuation models to prevent algorithmic bias. The plan additionally aims to improve the diversity of the appraiser workforce by lowering unnecessary barriers to entry related to education and experience. In addition, it sets out to strengthen fair lending and anti-bias training, and calls upon federal agencies to further aggregate appraisal data for further study. Government-related secondary mortgage-market investors Fannie Mae and Freddie Mac have already done some preliminary research on appraisal bias since the task force was formed. Fannie found refinance appraisals tend to be undervalued for Black borrowers and frequently overvalued for white ones based on comparisons to automated valuation models.