CYBERSECURITY, FACIAL RECOGNITION, AND ELECTION INTEGRITY

This paper discusses the relationship between cybersecurity, facial recognition, and election integrity. The article highlights cybersecurity issues and then explains facial recognition technology in depth. The essay points out that blind reliance on facial recognition technology and algorithms is not a substitute for integrity when counting votes. The paper notes that facial recognition software has significant failings, particularly when attempting to identify people of color. The reason is that facial data sets typically lack a sufficient number of faces of people of color to ensure that their identification is accurate, not yielding false positives or false negatives. Transparency and accessibility are critical when identifying individuals using biometric technology and counting votes so that the votes of the people who decide to vote are counted. There is no royal road when election integrity is concerned. In the end, election integrity is dependent on individuals of integrity who are dedicated to ensuring that the will of the People is heard.