When examining [the reliability of latent fingerprint identification] in 2016, the President's Council of Advisors On Science and Technology in the U.S. found that only two properly designed studies of latent fingerprint analysis had been conducted. These studies both found the rate of false matches (known as "false positives") to be very high: 1 in 18 and 1 in 30. One of the main reasons for these high error rates is that fingerprint analysis involves human judgment and relies on a methodology (known as "ACE-V" involving fingerprint points of identify) that is not sufficient to ensure the accuracy and reliability of an examiner's conclusions.
The Conversation, October 23, 2017
The Conversation, October 23, 2017
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