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Methodological requirements to publish results obtained using high-risk forensic methods in FSI
1Netherlands Forensic Institute, Laan van Ypenburg 6, P.O. Box 24044, 2497GB The Hague, the Netherlands; University of Twente, Drienerlolaan 5, P.O. Box 217, 7522NB Enschede, the Netherlands.
Forensic Science International
|July 4, 2025
Summary
This editorial guides researchers on publishing high-risk deception detection methods. It emphasizes ethical considerations and scientific integrity, aligning with the European Union's Artificial Intelligence Act (EU-AI Act).
Area of Science:
- Forensic Science
- Artificial Intelligence Ethics
- Biometric Analysis
Background:
- The European Union's Artificial Intelligence Act (EU-AI Act) classifies deception detection methods as high-risk.
- Submissions analyzing biometric features with machine learning have faced rejection.
- Ethical considerations are paramount for high-risk research.
Discussion:
- Guidance is provided for publishing high-risk methods in Forensic Science International.
- Key publication requirements include experimental setup, scientific methodology, and ethical aspects.
- Balancing the benefits and risks of high-risk methods is crucial.
Key Insights:
- Research on high-risk methods, including biometric analysis with AI, can be published if ethical concerns are addressed.
- Adherence to scientific integrity and fundamental rights is essential for publication.
- Proactive engagement with ethical guidelines ensures beneficial research outcomes.
Outlook:
- Encourages researchers to address ethical challenges in high-risk forensic science.
- Aims to foster responsible innovation in deception detection technologies.
- Promotes the publication of impactful research that upholds scientific and ethical standards.
