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Considering "Machine Testimony": The Impact Of Facial Recognition Software On Eyewitness Identifications, Valena Beety Jan 2022

Considering "Machine Testimony": The Impact Of Facial Recognition Software On Eyewitness Identifications, Valena Beety

Articles by Maurer Faculty

This Article uses a wrongful conviction lens to compare identifications by machines, notably facial recognition software, with identifications by humans. The Article advocates for greater reliability checks on both before use against a criminal defendant. The Article examines the cascading influence of facial recognition software on eyewitness identifications themselves and the related potential for greater errors. As a solution, the Article advocates the inclusion of eyewitness identification in the Organization of Scientific Area Committees' ("OSAC") review of facial recognition software for a more robust examination and consideration of software and its usage. The Article also encourages police departments to adopt …


The Noisy "Silent Witness": The Misperception And Misuse Of Criminal Video Evidence, Aaron M. Williams Oct 2019

The Noisy "Silent Witness": The Misperception And Misuse Of Criminal Video Evidence, Aaron M. Williams

Indiana Law Journal

This Note examines recent developments in the research of situational video evidence biases. Part I examines the current and growing body of psychological research into the various situational biases that can affect the reliability of video evidence and the gaps in this research that require further attention from researchers and legal academics. Because these biases do not “operate in a vacuum,” Part I also examines some of the recent and exciting research into the interaction between situational and dispositional biases. Part II examines the development of camera and video processing technology and its limitations as a means of mitigating such …