Source: University of Colorado Boulder

AI is poised to revolutionize eyewitness identification by reducing human error and bias. The article explains how AI tools can be used to assist law enforcement in identifying suspects more accurately. Traditionally, eyewitness testimony has been prone to errors, leading to wrongful convictions. With AI, it becomes possible to cross-reference witness accounts with other digital evidence, such as facial recognition technology, to verify the accuracy of identifications.

AI can also help mitigate biases that may influence eyewitness testimonies, such as racial bias or memory distortion. The article highlights ongoing research into AI’s role in improving the criminal justice process, particularly in ensuring that innocent individuals are not wrongfully convicted based on flawed eyewitness testimony.