Evidence Analysis Leads to Unbiased Identification

J. Mason
North Carolina A&T State University, North Carolina, United States

Poster stand number: W108

Keywords: argumentation, Dempster-Shafer theory, evidence, identity, ontologies

A crime occurs in any area of human life. The evidence that gets collected from the crime scene is applied to the identity computational framework. Investigators enter input from various sources, such as a video camera and/or an eyewitness testimony, about a crime, e.g., a robbery, that occurred in the identity computational framework. Based on the entered evidence, mathematical and argumentation theories are applied to the evidence that provide the investigator with unbiased identity-judgements. The output informs investigators how the evidence supports one's identity per the evidence. Investigators are able to analyze the modus operandi of the criminal, save time, money, and execute further reasoning of the identity-judgement of the offender of the crime. This technology is transformational because no capabilities exist that enable investigators to assess evidence from this perspective. The identity of the criminal in the crime is purely based on the supporting evidence. The impact that is brought to the world by the identity computational framework is standardization is applied to the field of criminal justice when establishing the identity of a criminal in an unbiased manner. The identity computation framework technology is supported by humans. Surveillance is not a factor.