Every black-box accuracy study on latent print examinations, including recent palm print research, clearly demonstrates a relatively high error rate for Exclusion conclusions. While Exclusion is typically the most utilized conclusion, the vast majority of training time focuses on Identification. Additionally, many agencies do not have protocols for verification of the Exclusion conclusion. This lecture will discuss how examiners can improve their accuracy and efficiency when reaching this conclusion through an Exclusion-centric search strategy and the use of AFIS technology. For the final portion of the class, Katie Casper will share her experience with an Erroneous Exclusion that caused a case to go cold for over 30 years, and how the error was discovered, documented, and reported.