New Zealand Institute for Public Health and Forensic Science (PHF Science)
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A Responsible Artificial Intelligence Framework for Forensic Science

journal contribution
posted on 2025-08-18, 21:46 authored by Janet Stacey, Rachel Fleming, Dion Sheppard, Jan Sheppard, Gillian Dobbie, Deepak Karunakaran
<p dir="ltr">As artificial intelligence and automated workflows become embedded in forensic science, there is a need for a comprehensive framework to ensure that they are fit for purpose. A review of existing AI guidelines and policies has identified a commonality of principles but an absence of the level of detail required for an organisation to implement these expectations at an operational level. In response to this, a Responsible AI Framework (RAIF) to support the safe and reliable development and implementation of AI projects within a forensic organisation has been developed. The RAIF consists of three components: a Questionnaire, a Guidelines document, and a Project Register. When used in combination, the RAIF enables organisations to have confidence when undertaking AI projects and to balance the opportunities and risks of this evolving technology. A fully worked example illustrating the application of the RAIF to Lumi Drug Scan, a forensic AI solution to detect illict drugs in real time, is included.</p>

Funding

New Zealand Ministry of Business, Innovation & Employment Strategic Science Investment Fund

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    DOI - Is published in Forensic Science International

Submitter

Salila Bryant

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