2,482
Views
27
CrossRef citations to date
0
Altmetric
Papers

Bias among forensic document examiners: Still a need for procedural changes

, &
Pages 91-97 | Received 05 Apr 2013, Accepted 14 Apr 2013, Published online: 17 May 2013
 

Abstract

In 1984, Miller published the paper: ‘Bias among forensic document examiners: A need for procedural changes’, with the intent to elicit some concern about the amount of cognitive bias among forensic document examiners. There is a need for the development of procedures regarding how a document examiner can minimize the amount of cognitive bias that may lead to erroneous conclusions by the examiner. Such procedures would serve to demonstrate that a conscientious effort was made by the examiner and the submitting agency to control extraneous variables that could bias the results of the examination. Some 28 years after Miller1 the forensic sciences are confronted with serious criticism with respect to cognitive bias (e.g. Risinger et al.2, and the NAS report3). It appears that not much of Miller’s suggestions have been applied in practice. No good general procedures have been implemented for minimizing the risk of cognitive bias in most institutes. In this paper we address the main issues raised in the 1984 paper, and describe the current state of affairs with respect to minimizing cognitive bias in the forensic sciences. There is still a need for procedural changes in the forensic sciences.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 215.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.