Journal
JOURNAL OF CONTEMPORARY CRIMINAL JUSTICE
Volume 36, Issue 3, Pages 428-450Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1043986220910297
Keywords
wildlife trafficking; plant crimes; explainable AI; ethics in online research; natural language processing
Categories
Funding
- Economic and Social Research Council [ES/R003254/1]
- ESRC [ES/R003254/1] Funding Source: UKRI
- Economic and Social Research Council [ES/R003254/1] Funding Source: researchfish
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This article presents a part of the ongoing Economic and Social Research Council (ESRC)-funded project FloraGuard: Tackling the illegal trade in endangered plants that relies on cross-disciplinary approaches to analyze online marketplaces for the illegal trade in endangered plants, and explores strategies to develop digital resources to assist law enforcement in countering and disrupting this criminal market. This contribution focuses on how the project brought together computer science, criminology, conservation science, and law enforcement expertise to create a tool for the automatic gathering of relevant online information to be used for research, intelligence, and investigative purposes. The article also discusses the ethical standards applied and proposes the concept of artificial intelligence (AI) review to provide a sociotechnical solution that builds trustworthiness in the AI approaches used for this type of cross-disciplinary information and communications technology (ICT)-enabled methodology.
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