Literature DB >> 31886896

ISO Standards Addressing Issues of Bias and Impartiality in Forensic Work.

Itiel E Dror1, Michal L Pierce2.   

Abstract

The ISO/IEC 17020 and 17025 standards both include requirements for impartiality and the freedom from bias. Meeting these requirements for implicit cognitive bias is not a simple matter. In this article, we address these international standards, specifically focusing on evaluating and mitigating the risk to impartiality, and quality assurance checks, so as to meet accreditation program requirements. We cover their meaning to management as well as to practitioners, addressing how these issues of impartiality and bias relate to forensic work, and how one can effectively evaluate and mitigate those risks. We then elaborate on specific quality assurance policies and checks and identify when corrective action may be appropriate. These measures will not only serve to meet ISO/IEC 17020 and 17025 requirements, but also enhance forensic work and decision-making.
© 2019 American Academy of Forensic Sciences.

Entities:  

Keywords:  ISO standards; accreditation; blind verification; cognitive bias; forensic science; linear sequential unmasking (LSU); proficiency testing; quality assurance; risk management

Year:  2019        PMID: 31886896     DOI: 10.1111/1556-4029.14265

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  4 in total

1.  The effect of contextual information on decision-making in forensic toxicology.

Authors:  Hilary J Hamnett; Itiel E Dror
Journal:  Forensic Sci Int       Date:  2020-06-30       Impact factor: 2.395

2.  Letter to Editor.

Authors:  Hans Ditrich
Journal:  Forensic Sci Int Synerg       Date:  2021-11-27

3.  How to influence positive change? Managers' involvement as emotional architects in the solution for relieving forensic examiners' workplace stress.

Authors:  Donta S Harper
Journal:  Forensic Sci Int Synerg       Date:  2021-12-15

4.  Inconclusives, errors, and error rates in forensic firearms analysis:Three statistical perspectives.

Authors:  Alan H Dorfman; Richard Valliant
Journal:  Forensic Sci Int Synerg       Date:  2022-06-08
  4 in total

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