Artificial intelligence applications in forensic science and their implications for education and training

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.

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.

AI demonstrates high utility in forensic contexts, particularly in simulation-based training, evidence interpretation, and decision-support systems.

Forward consideration, not a verified fact.