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Published on: September 27, 2024
A risk-based approach to cognitive bias in forensic science
Andrew Camilleri1, Damien Abarno1, Carolyne Bird1
1Forensic Science SA, GPO Box 2790, Adelaide, SA 5001, Australia.
Forensic Science SA assessed cognitive bias risks using a management framework. A risk-based approach helps balance bias mitigation with operational efficiency in forensic science.
Area of Science:
- Forensic Science
- Cognitive Psychology
- Risk Management
Background:
- Cognitive bias significantly impacts subjective decision-making in forensic science.
- Forensic organizations are advised to implement strategies to mitigate bias.
- Previous assessments lacked a systematic evaluation of cognitive bias risks.
Purpose of the Study:
- To systematically assess the potential impact of cognitive bias on forensic interpretations.
- To evaluate the effectiveness of existing bias mitigating strategies.
- To identify the latent level of risk posed by cognitive bias across disciplines.
Main Methods:
- Utilized a risk management framework to assess cognitive bias.
- Applied the framework across multiple forensic disciplines.
- Evaluated existing bias mitigating strategies within operational contexts.
Main Results:
- The risk management framework effectively assessed bias impact and strategy effectiveness.
- Identified the latent level of risk associated with cognitive bias.
- Highlighted the contextualized, limited benefit of resource-intensive bias mitigation measures.
Conclusions:
- A risk-based approach is crucial for forensic organizations to balance bias mitigation with efficiency.
- Simple, cost-effective bias limiting measures are preferred.
- Forensic science must balance the risk of cognitive bias with the return on mitigation investments.
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