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Author Spotlight: Advancing Research in Corneal Opacity Treatment and Regeneration
Published on: August 4, 2023
The opacity myth: A response to Swofford & Champod (2022)
Geoffrey Stewart Morrison1,2, Nabanita Basu1, Ewald Enzinger3,1
1Forensic Data Science Laboratory, Aston University, Birmingham, UK.
Abstract:
Swofford & Champod (2022) FSI Synergy article 100220 reports the results of semi-structured interviews that asked interviewees their views on probabilistic evaluation of forensic evidence in general, and probabilistic evaluation of forensic evidence performed using computational algorithms in particular. The interview protocol included a leading question based on the premise that machine-learning methods used in forensic inference are not understandable even to those who develop those methods. We contend that this is a false premise.
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