Even if all credit data regarding consumers held at credit repositories were accurate, complete, and current, there would be significant concerns about the fairness of automated credit scoring programs. Converting the complex and often conflicting information contained in credit reports into a numerical shorthand is a complex process, and requires a significant number of interpretive decisions to be made at the design level. From determining the relative influence of various credit-related behaviors, to the process used to evaluate inconsistent information, there is a great potential for variance among scoring system designs
