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ISO Standards Addressing Issues of Bias and Impartiality in Forensic Work
Itiel E Dror1, Michal L Pierce2
1UCL Centre for the Forensic Sciences, University College London, London, UK.
Journal of Forensic Sciences
|December 31, 2019
Summary
Meeting international standards for impartiality requires addressing implicit cognitive bias in forensic work. This study details methods for evaluating and mitigating bias risks to meet accreditation requirements.
Area of Science:
- Forensic Science
- Accreditation Standards
- Cognitive Psychology
Background:
- ISO/IEC 17020 and 17025 standards mandate impartiality and freedom from bias.
- Implicit cognitive bias poses a challenge to meeting these impartiality requirements.
Purpose of the Study:
- To address the challenges of implicit cognitive bias in relation to ISO/IEC 17020 and 17025 standards.
- To provide methods for evaluating and mitigating risks to impartiality in forensic settings.
Main Methods:
- Focus on risk evaluation and mitigation strategies for impartiality.
- Elaboration of quality assurance policies and checks.
- Discussion of corrective actions when necessary.
Main Results:
- The article outlines practical approaches for management and practitioners.
- Specific quality assurance measures are detailed for enhancing forensic decision-making.
- Methods are presented to ensure compliance with accreditation program requirements.
Conclusions:
- Implementing the discussed measures enhances compliance with ISO/IEC 17020 and 17025.
- These strategies improve the quality and decision-making in forensic work.
- Effective bias mitigation is crucial for maintaining impartiality in accredited laboratories.
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