Graph embeddings in criminal investigation: towards combining precision, generalization and transparency

Autor:	Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Stefano Siccardi
Rok vydání:	2022
Předmět:	Computer Networks and Communications Hardware and Architecture Software
Zdroj:	World Wide Web. 25:2379-2402
ISSN:	1573-1413 1386-145X
Popis:	Criminal investigation adopts Artificial Intelligence to enhance the volume of the facts that can be investigated and documented in trials. However, the abstract reasoning implied in legal justification and argumentation requests to adopt solutions providing high precision, low generalization error, and retrospective transparency. Three requirements that hardly coexist in today’s Artificial Intelligence solutions. In a controlled experiment, we then investigated the use of graph embeddings procedures to retrieve potential criminal actions based on patterns defined in enquiry protocols. We observed that a significant level of accuracy can be achieved but different graph reformation procedures imply different levels of precision, generalization, and transparency.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8a2876e0271106a6f4509d7eae8a9e3 https://doi.org/10.1007/s11280-021-01001-2 Zobrazit plný text záznamu Full text from SpringerLink