How can we leverage AI tools to help with long unsolved cold cases?
This podcast is based on sources that discuss the growing issue of unsolved murders and cold cases in the United States, highlighting that nearly half of all murders currently go uncleared. The texts explore the reasons for this backlog, including understaffing and a lack of trust between law enforcement and communities, particularly impacting cases with minority victims. Several articles then detail how artificial intelligence is being used to help solve cold cases through methods like analyzing large datasets, DNA evidence, language patterns, and visual evidence, while also discussing the associated ethical concerns regarding privacy and bias. Finally, some sources touch on the challenges and possibilities for citizen involvement in assisting with cold case investigations.
Source:
A "coin flip": Nearly half of U.S. murders go unsolved as cases rise - CBS NewswebAddressing the Cold Case Backlog Using an Open-Source Investigation ModelwebCould the Police Turn To AI To Solve Cold Cases? - Mortons SolicitorswebCracking Cold Cases: How AI is Helping Reopen Unsolved Crimes | legalpdf.iowebDigital Transformation of Cold Case Reviews: The Application of Text AnalyticswebIs It Ethical to Use Genealogy Data to Solve Crimes? - PMCwebIs there any way a regular person could assist in cold cases or unsolved murders from like decades ago or something similar? - Redditdrive_pdfLegal and Ethical Impact of AI in Criminal Justice: An Analytical Study - IJNRDmore_vertTen Lesser-Known Unsolved Disappearances and Murders - Listverse
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