Shining a Light on Forensic Black-Box Studies
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Forensic science plays a critical role in the American criminal justice system. For decades, many feature-based fields of forensic science, such as firearm and toolmark identification, developed outside of the purview of the scientific community. Currently, black-box studies are used to assess the scientific validity of feature-based methods. The results of these studies are widely relied on by judges across the country. However, this reliance is misplaced. Black-box studies to date suffer from inappropriate sampling methods and high rates of missingness. Current black-box studies ignore both problems in arriving at the error rate estimates presented to courts. We explore the impact of each type of limitation using available data from black-box studies and court materials. We show that black-box studies rely on non-representative samples of examiners. Using a case study of a popular ballistics study, we find evidence that these non-representative samples may commit fewer errors than the wider population from which they came. We also find evidence that the missingness in black-box studies is non-ignorable. Using data from a recent latent print study, we show that ignoring this missingness likely results in systematic underestimates of error rates. Finally, we offer concrete steps to overcome these limitations.
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