Knowledge Resource
Research Summary: Artificial intelligence applications in forensic science and their implications for education and training
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 29 October 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A systematic review published in Frontiers in Education examines the integration of artificial intelligence (AI) across forensic science education and professional training from 2020 to 2025. Although AI presents clear utility for evidence interpretation, simulation-based learning, and operational decision-making, practical implementation in educational settings remains fragmented and lacks consensus on pedagogical frameworks and competency baselines.
Why it matters
As artificial intelligence becomes embedded in forensic practice, workforce capability and education must evolve to ensure analytical and evidentiary integrity. Without formal pedagogical frameworks, the disparity between technological adoption and practitioner competence introduces significant operational and legal risks. Establishing structured training standards is vital for maintaining institutional credibility and high-stakes decision-making in forensic science.
Key insights
- AI demonstrates high utility in forensic contexts, particularly in simulation-based training, evidence interpretation, and decision-support systems.
- Evidence regarding the educational deployment of AI in forensic science is currently fragmented across academic and operational literature.
- There is a distinct lack of consensus on pedagogical frameworks and competency development models needed to prepare forensic practitioners.
- Systematic evaluation using PRISMA methodology identified eligible studies across Scopus, PubMed, and IEEE Xplore focused on measurable educational and training interventions.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1956809
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- Verification ID
- ASA-EXE-2026-01489
- Version
- v1.0 · r0
- Issued
- 29 October 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Artificial intelligence applications in forensic science and their implications for education and training
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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