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Resolving differing expert opinions.

Isabelle Montani1, Raymond Marquis1, Nicole Egli Anthonioz1

  • 1School of Criminal Justice, Faculty of Law, Criminal Justice and Public Administration, University of Lausanne, Batochime, quartier Sorge, 1015 Lausanne-Dorigny, Switzerland.

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This study outlines procedures for resolving expert disagreements in forensic pattern recognition, including computer models. Documenting these resolution rules as standard operating procedures is crucial before casework implementation.

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Area of Science:

  • Forensic Science
  • Pattern Recognition
  • Computer Science

Background:

  • Disagreements arise between human experts or human-computer models in forensic pattern analysis.
  • Existing protocols like ACE-V need clear procedures for resolving conflicting conclusions.
  • The integration of computer-based models in forensics is anticipated to increase.

Purpose of the Study:

  • To explore procedural mechanisms for resolving differing expert conclusions in pattern recognition.
  • To integrate these mechanisms within the established ACE-V protocol.
  • To prepare for the increasing use of computer-based models in forensic casework.

Main Methods:

  • Defining conditions of operation for expert comparison.
  • Delineating a resolving process based on transparency and detailed argumentation.
  • Adapting the ACE-V protocol for human and computer-based expert comparisons.

Main Results:

  • A framework for resolving differing expert opinions in pattern recognition is presented.
  • The proposed process emphasizes transparency and detailed argumentation.
  • The ACE-V protocol is adapted to accommodate potential computer-based model involvement.

Conclusions:

  • Procedural mechanisms are essential for managing disagreements in forensic pattern recognition.
  • Standard operating procedures for resolving differing opinions must be documented before casework deployment.
  • Anticipates the integration of computer-based models in forensic pattern recognition.