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.

FloraGuard: tackling the online illegal trade in endangered plants through a cross-disciplinary ICT-enabled methodology / Lavorgna A; Middleton SE; Pickering B; Neumann G. - In: JOURNAL OF CONTEMPORARY CRIMINAL JUSTICE. - ISSN 1043-9862. - ELETTRONICO. - 36:3(2020), pp. 428-450. [10.1177/1043986220910297]

FloraGuard: tackling the online illegal trade in endangered plants through a cross-disciplinary ICT-enabled methodology.

Lavorgna A;
2020

Abstract

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.
2020
FloraGuard: tackling the online illegal trade in endangered plants through a cross-disciplinary ICT-enabled methodology / Lavorgna A; Middleton SE; Pickering B; Neumann G. - In: JOURNAL OF CONTEMPORARY CRIMINAL JUSTICE. - ISSN 1043-9862. - ELETTRONICO. - 36:3(2020), pp. 428-450. [10.1177/1043986220910297]
Lavorgna A; Middleton SE; Pickering B; Neumann G
File in questo prodotto:
File Dimensione Formato  
FloraGuard.pdf

accesso aperto

Descrizione: Articolo in rivista
Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 235.98 kB
Formato Adobe PDF
235.98 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/900767
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 17
social impact