The opacity myth: A response to Swofford & Champod (2022)

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.

Keywords

• Forensic inference
• Statistical model
• Machine learning
• Artificial intelligence
• Understanding